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| imdb notebook: The Negro Motorist Green Book Victor H. Green, The Negro Motorist Green Book was a groundbreaking guide that provided African American travelers with crucial information on safe places to stay, eat, and visit during the era of segregation in the United States. This essential resource, originally published from 1936 to 1966, offered a lifeline to black motorists navigating a deeply divided nation, helping them avoid the dangers and indignities of racism on the road. More than just a travel guide, The Negro Motorist Green Book stands as a powerful symbol of resilience and resistance in the face of oppression, offering a poignant glimpse into the challenges and triumphs of the African American experience in the 20th century. |
| imdb notebook: Where the Crawdads Sing: Reese's Book Club Delia Owens, 2021-03-30 NOW A MAJOR MOTION PICTURE—The #1 New York Times bestselling worldwide sensation with more than 18 million copies sold, hailed by The New York Times Book Review as “a painfully beautiful first novel that is at once a murder mystery, a coming-of-age narrative and a celebration of nature.” New York Times Readers Pick: 100 Best Books of the 21st Century For years, rumors of the “Marsh Girl” have haunted Barkley Cove, a quiet town on the North Carolina coast. So in late 1969, when handsome Chase Andrews is found dead, the locals immediately suspect Kya Clark, the so-called Marsh Girl. But Kya is not what they say. Sensitive and intelligent, she has survived for years alone in the marsh that she calls home, finding friends in the gulls and lessons in the sand. Then the time comes when she yearns to be touched and loved. When two young men from town become intrigued by her wild beauty, Kya opens herself to a new life—until the unthinkable happens. Where the Crawdads Sing is at once an exquisite ode to the natural world, a heartbreaking coming-of-age story, and a surprising tale of possible murder. Owens reminds us that we are forever shaped by the children we once were, and that we are all subject to the beautiful and violent secrets that nature keeps. |
| imdb notebook: The Case-Book of Sherlock Holmes (Illustrated) Arthur Conan Doyle, 2023-01-01 The Case-Book of Sherlock Holmes, the final collection of Sherlock Holmes stories written by Sir Arthur Conan Doyle from 1921 to 1927, features his last 12 mysteries, including the only two stories narrated by Sherlock Holmes himself-The Blanched Soldier and The Lion's Mane. This Top Five Classics illustrated edition of The Case-Book of Sherlock Holmes includes all 57 illustrations by Howard Elcock, Alfred Gilbert, and Frank Wiles as they appeared in the original Strand serials, as well as a complete Timeline of Sherlock Holmes Cases and a detailed author biography. |
| imdb notebook: Transfer Learning for Natural Language Processing Paul Azunre, 2021-08-31 Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems. Summary In Transfer Learning for Natural Language Processing you will learn: Fine tuning pretrained models with new domain data Picking the right model to reduce resource usage Transfer learning for neural network architectures Generating text with generative pretrained transformers Cross-lingual transfer learning with BERT Foundations for exploring NLP academic literature Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You’ll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you’ll save on training time and computational costs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build custom NLP models in record time, even with limited datasets! Transfer learning is a machine learning technique for adapting pretrained machine learning models to solve specialized problems. This powerful approach has revolutionized natural language processing, driving improvements in machine translation, business analytics, and natural language generation. About the book Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you’ll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications. What's inside Fine tuning pretrained models with new domain data Picking the right model to reduce resource use Transfer learning for neural network architectures Generating text with pretrained transformers About the reader For machine learning engineers and data scientists with some experience in NLP. About the author Paul Azunre holds a PhD in Computer Science from MIT and has served as a Principal Investigator on several DARPA research programs. Table of Contents PART 1 INTRODUCTION AND OVERVIEW 1 What is transfer learning? 2 Getting started with baselines: Data preprocessing 3 Getting started with baselines: Benchmarking and optimization PART 2 SHALLOW TRANSFER LEARNING AND DEEP TRANSFER LEARNING WITH RECURRENT NEURAL NETWORKS (RNNS) 4 Shallow transfer learning for NLP 5 Preprocessing data for recurrent neural network deep transfer learning experiments 6 Deep transfer learning for NLP with recurrent neural networks PART 3 DEEP TRANSFER LEARNING WITH TRANSFORMERS AND ADAPTATION STRATEGIES 7 Deep transfer learning for NLP with the transformer and GPT 8 Deep transfer learning for NLP with BERT and multilingual BERT 9 ULMFiT and knowledge distillation adaptation strategies 10 ALBERT, adapters, and multitask adaptation strategies 11 Conclusions |
| imdb notebook: The Invention of Hugo Cabret Brian Selznick, 2015-09-15 Don't miss Selznick's other novels in words and pictures, Wonderstruck and The Marvels, which together with The Invention of Hugo Cabret, form an extraordinary thematic trilogy! 2008 Caldecott Medal winnerThe groundbreaking debut novel from bookmaking pioneer, Brian Selznick!Orphan, clock keeper, and thief, Hugo lives in the walls of a busy Paris train station, where his survival depends on secrets and anonymity. But when his world suddenly interlocks--like the gears of the clocks he keeps--with an eccentric, bookish girl and a bitter old man who runs a toy booth in the station, Hugo's undercover life and his most precious secret are put in jeopardy. A cryptic drawing, a treasured notebook, a stolen key, a mechanical man, and a hidden message from Hugo's dead father form the backbone of this intricate, tender, and spellbinding mystery.With 284 pages of original drawings and combining elements of picture book, graphic novel, and film, Brian Selznick breaks open the novel form to create an entirely new reading experience. Here is a stunning cinematic tour de force from a boldly innovative storyteller and artist. |
| imdb notebook: The Red Notebook Antoine Laurain, 2025-07-01 Described as “Parisian perfection” by Queen Camilla, you won’t want to miss this charming, quirky love story from one of the UK's favourite French authors! In this bestselling novel, a bookseller pursues a mystery woman—known only through the jottings in her red notebook—through the streets of Paris Bookseller Laurent Letellier comes across an abandoned handbag on a Parisian street, and feels compelled to return it to its owner. Quickly ruling out the police station, which is always best avoided, he turns the contents out onto his kitchen table to see if they hold a clue. The bag contains no money, phone or contact information. But it does yield a small red notebook, full of handwritten thoughts and jottings that reveal someone Laurent would very much like to meet. From the lists of likes and dislikes, things noticed and things felt, emerges the portrait of a woman who might just be his soulmate. But without even a name to go on, and only a few of her possessions to help him, how is he to find one woman in a city of millions? He’ll have to turn to his daughter, who helps him decode the possessions and sends him on a madcap journey around the French capital. Meanwhile, in an anonymous hospital room, fragmentary thoughts float through the mind of a woman in a coma. She thinks she’s called Laure, and she has some strong opinions and painful memories – but will she ever wake up and get a fresh chance at life? Soaked in Parisian atmosphere, this lovely, clever, funny novel is the perfect French holiday read! |
| imdb notebook: Introduction to Machine Learning with Python Andreas C. Müller, Sarah Guido, 2016-09-26 Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills |
| imdb notebook: God Is a Bullet Boston Teran, 2011-09-21 An ex-member of a bloodthirsty cult must pair up with a police officer to take down the group’s murderous leader in this dark, wrenching thriller about personal conviction, retribution, and survival. Soon to be a major motion picture starring Jamie Foxx, Nikolaj Coster-Waldau, Maika Monroe, and January Jones “In a word: Wow. God Is a Bullet is a kick-ass, in-your-face tour de force from start to finish.”—Harlan Coben, #1 New York Times bestselling author of The Match Case Hardin has stared into the face of evil and lived. Now Case learns that the satanic cult that turned her from a lost child into a broken, drug-addicted shell of a woman has taken down more victims, butchering a man and a woman in their suburban home and abducting a young girl. Fueled by rage and the need to redeem her life, Case teams up with the missing girl’s father—a straight-arrow desk cop named Bob Hightower—to track the girl down. With Case as his mentor, Hightower will begin a hunt through the satanic underground few have encountered and even fewer have survived, to pry his child from the hands of a madman. WINNER OF THE CWA NEW BLOOD DAGGER AWARD • EDGAR AWARD FINALIST |
| imdb notebook: I'm Glad My Mom Died Jennette McCurdy, 2022-08-09 A memoir by American former actress and singer Jennette McCurdy about her career as a child actress and her difficult relationship with her abusive mother who died in 2013 |
| imdb notebook: The Last Hanna Jameson, 2020-09-18 Jon pensait avoir largement de répondre au dernier sms de sa femme. Mais alors qu'il prend son petit-déjeuner dans le hall de l'Hotel Sixième en Suisse après une conférence, le monde se rappelle à lui avec d'atroces nouvelles. Washington DC a été effacée par une bombe nucléaire. Plus de nouvelles de New-York. Londres s'est éteinte. Berlin aussi. Voilà ce qu'il a le temps de comprendre avant que les média et les réseaux sociaux ne soient coupés à leur tour. Avant que le ciel ne se couvre de nuages oranges. Deux mois plus tard, ils sont vingt survivants réfugiés dans cet hôtel connu pour son histoire teintée de suicides et de meurtres. Jon et ses compagnons d'infortune essaient de maintenir un semblant de quotidien. Jusqu'au jour où ils découvrent le corps d'une petite fille. Les provisions s'amenuisent, les tensions s'affutent. Et si finalement le danger n'était pas à l'extérieur? Vingt survivants. Un hôtel. Un meurtre. |
| imdb notebook: The Notebook Nicholas Sparks, 2014-06-24 Experience the unforgettable, heartbreaking love story set in post-World War II North Carolina about a young socialite and the boy who once stole her heart -- one of PBS's Great American Reads. Every so often a love story so captures our hearts that it becomes more than a story-it becomes an experience to remember forever. The Notebook is such a book. It is a celebration of how passion can be ageless and timeless, a tale that moves us to laughter and tears and makes us believe in true love all over again... At thirty-one, Noah Calhoun, back in coastal North Carolina after World War II, is haunted by images of the girl he lost more than a decade earlier. At twenty-nine, socialite Allie Nelson is about to marry a wealthy lawyer, but she cannot stop thinking about the boy who long ago stole her heart. Thus begins the story of a love so enduring and deep it can turn tragedy into triumph, and may even have the power to create a miracle... |
| imdb notebook: Deep Learning with Python Francois Chollet, 2017-11-30 Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance |
| imdb notebook: Moneyball: The Art of Winning an Unfair Game Michael Lewis, 2004-03-17 Michael Lewis’s instant classic may be “the most influential book on sports ever written” (People), but “you need know absolutely nothing about baseball to appreciate the wit, snap, economy and incisiveness of [Lewis’s] thoughts about it” (Janet Maslin, New York Times). One of GQ's 50 Best Books of Literary Journalism of the 21st Century Just before the 2002 season opens, the Oakland Athletics must relinquish its three most prominent (and expensive) players and is written off by just about everyone—but then comes roaring back to challenge the American League record for consecutive wins. How did one of the poorest teams in baseball win so many games? In a quest to discover the answer, Michael Lewis delivers not only “the single most influential baseball book ever” (Rob Neyer, Slate) but also what “may be the best book ever written on business” (Weekly Standard). Lewis first looks to all the logical places—the front offices of major league teams, the coaches, the minds of brilliant players—but discovers the real jackpot is a cache of numbers?numbers!?collected over the years by a strange brotherhood of amateur baseball enthusiasts: software engineers, statisticians, Wall Street analysts, lawyers, and physics professors. What these numbers prove is that the traditional yardsticks of success for players and teams are fatally flawed. Even the box score misleads us by ignoring the crucial importance of the humble base-on-balls. This information had been around for years, and nobody inside Major League Baseball paid it any mind. And then came Billy Beane, general manager of the Oakland Athletics. He paid attention to those numbers?with the second-lowest payroll in baseball at his disposal he had to?to conduct an astonishing experiment in finding and fielding a team that nobody else wanted. In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis shows us how and why the new baseball knowledge works. He also sets up a sly and hilarious morality tale: Big Money, like Goliath, is always supposed to win . . . how can we not cheer for David? |
| imdb notebook: Little Women Louisa May Alcott, 1896 |
| imdb notebook: One Day David Nicholls, 2010-06-15 NOW A NETFLIX SERIES • NEW YORK TIMES BESTSELLER • TWO PEOPLE. ONE DAY. TWENTY YEARS. • What starts as a fleeting connection between two strangers soon becomes a deep bond that spans decades. • [An] instant classic. . . . One of the most ...emotionally riveting love stories you’ll ever encounter. —People It’s 1988 and Dexter Mayhew and Emma Morley have only just met. But after only one day together, they cannot stop thinking about one another. Over twenty years, snapshots of that relationship are revealed on the same day—July 15th—of each year. They face squabbles and fights, hopes and missed opportunities, laughter and tears. Dex and Em must come to grips with the nature of love and life itself. As the years go by, the true meaning of this one crucial day is revealed. [A] surprisingly deep romance...so thoroughly satisfying. —Entertainment Weekly |
| imdb notebook: The Choice Nicholas Sparks, 2015-12-22 Opposites attract in this moving #1 New York Times bestseller of love lost and found between a medical student and the man who captures her heart. Travis Parker has everything a man could want: a good job, loyal friends, even a waterfront home in small-town North Carolina. In full pursuit of the good life—boating, swimming, and regular barbecues with his good-natured buddies—he holds the vague conviction that a serious relationship with a woman would only cramp his style. That is, until Gabby Holland moves in next door. Despite his attempts to be neighborly, the appealing redhead seems to have a chip on her shoulder about him . . . and the presence of her longtime boyfriend doesn’t help. Despite himself, Travis can’t stop trying to ingratiate himself with his new neighbor, and his persistent efforts lead them both to the doorstep of a journey that neither could have foreseen. Spanning the eventful years of young love, marriage, and family, The Choice ultimately confronts us with the most heart-wrenching question of all: how far would you go to keep the hope of love alive? |
| imdb notebook: Eighteen Inches Mirtha Michelle Castro Marmol, 2020-09-15 These poems explore the distance between the head and the heart—and all of the pain, beauty, and hope in between. This book is one woman’s account of her longing to know herself fully. Her mind, body, and soul. This book might make you cry, fill you with nostalgia, empower you, or even give you hope. You might not see eye to eye with every idea inside, but with any luck you’ll see your soul reflected in its pages. You will question things. You will remember your past. You will be thankful for your present. You will dream a new dream. Above all, you will feel. Welcome to the journey of Eighteen Inches, a battlefield between a woman’s beat-up heart and her complex mind. |
| imdb notebook: The Poisoner's Handbook Deborah Blum, 2011-01-25 Equal parts true crime, twentieth-century history, and science thriller, The Poisoner's Handbook is a vicious, page-turning story that reads more like Raymond Chandler than Madame Curie. —The New York Observer “The Poisoner’s Handbook breathes deadly life into the Roaring Twenties.” —Financial Times “Reads like science fiction, complete with suspense, mystery and foolhardy guys in lab coats tipping test tubes of mysterious chemicals into their own mouths.” —NPR: What We're Reading A fascinating Jazz Age tale of chemistry and detection, poison and murder, The Poisoner's Handbook is a page-turning account of a forgotten era. In early twentieth-century New York, poisons offered an easy path to the perfect crime. Science had no place in the Tammany Hall-controlled coroner's office, and corruption ran rampant. However, with the appointment of chief medical examiner Charles Norris in 1918, the poison game changed forever. Together with toxicologist Alexander Gettler, the duo set the justice system on fire with their trailblazing scientific detective work, triumphing over seemingly unbeatable odds to become the pioneers of forensic chemistry and the gatekeepers of justice. In 2014, PBS's AMERICAN EXPERIENCE released a film based on The Poisoner's Handbook. |
| imdb notebook: Five Feet Apart Rachael Lippincott, Mikki Daughtry, Tobias Iaconis, 2022-03 Seventeen-year-olds Stella and Will, both suffering from cystic fibrosis, realize the only way to stay alive is to stay apart, but their love for each other is slowly pushing the boundaries of physical and emotional safety. |
| imdb notebook: Mining the Social Web Matthew Russell, 2011-01-21 Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python. --Jeff Hammerbacher, Chief Scientist, Cloudera A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data. --Alex Martelli, Senior Staff Engineer, Google |
| imdb notebook: The Accidental Billionaires Ben Mezrich, 2009-07-14 NATIONAL BESTSELLER “The Social Network, the much anticipated movie…adapted from Ben Mezrich’s book The Accidental Billionaires.” —The New York Times Best friends Eduardo Saverin and Mark Zuckerberg had spent many lonely nights looking for a way to stand out among Harvard University’s elite, competitive, and accomplished student body. Then, in 2003, Zuckerberg hacked into Harvard’s computers, crashed the campus network, almost got himself expelled, and was inspired to create Facebook, the social networking site that has since revolutionized communication around the world. With Saverin’s funding their tiny start-up went from dorm room to Silicon Valley. But conflicting ideas about Facebook’s future transformed the friends into enemies. Soon, the undergraduate exuberance that marked their collaboration turned into out-and-out warfare as it fell prey to the adult world of venture capitalists, big money, and lawyers. |
| imdb notebook: Movie Watching Journal Zoe Swan, 2019-12-05 Book viewing journal for those who love to watch movies Watching movies is one of the most rewarding hobbies anyone at any age can have. This movie viewing log is made for those who are frequent film watchers, and who may loose track of what they have and have not seen, or would simply like to record their thoughts and ideas about the films they have seen. This movie log is something many people will keep for their entire lives. The earlier you start recording, the more logs you will finish, and the more you will have to show for it. It also makes a great gift to be passed down through generations, as a great piece of personal, sentimental history. What does this book contain? Cover page with space for owner information and logbook number Space to rate, review and record 200 different films Quick Recap Listat the end of the journal which acts as a contents page for your reviews, ensuring you are able to quickly find what you are looking for Lined notes pages at the back of the book to record other relevant information (Such as movie wishlist, seual information etc) What do the review pages contain? Title Director Length Year Genre and Subject Actors Overall Rating (1-10) Quick Notes / Review Book Features 6 x 9 Inch - Very convenient size 120 pages (100 pages for reviews - 200 movies) Softcover (Paperback) with professional perfect binding Printed on white paper Awesome cover design Numbered pages with recap to make your own contents page |
| imdb notebook: Exploring Movie Construction and Production John Reich, 2017-07-10 Exploring Movie Construction & Production contains eight chapters of the major areas of film construction and production. The discussion covers theme, genre, narrative structure, character portrayal, story, plot, directing style, cinematography, and editing. Important terminology is defined and types of analysis are discussed and demonstrated. An extended example of how a movie description reflects the setting, narrative structure, or directing style is used throughout the book to illustrate building blocks of each theme. This approach to film instruction and analysis has proved beneficial to increasing students¿ learning, while enhancing the creativity and critical thinking of the student. |
| imdb notebook: This Is My South Caroline Eubanks, 2018 You may think you know the South for its food, its people, its past, and its stories, but if there's one thing that's certain, it's that the region tells far more than one tale. It is ever-evolving, open to interpretation, steeped in history and tradition, yet defined differently based on who you ask. This Is My South inspires the reader to explore the Southern States--Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia--like never before. No other guide pulls together these states into one book in quite this way with a fresh perspective on can't-miss landmarks, off the beaten path gems, tours for every interest, unique places to sleep, and classic restaurants. So come see for yourself and create your own experiences along the way! |
| imdb notebook: The Perks of Being a Wallflower Stephen Chbosky, 2010-06-29 “A timeless story for every young person who needs to understand that they are not alone.” —Judy Blume “Once in a while, a novel comes along that becomes a generational touchstone. The Perks of Being a Wallflower is one of those books.” —R. J. Palacio, #1 New York Times bestselling author of Wonder This #1 New York Times bestselling coming-of-age story with millions of copies in print takes a sometimes heartbreaking, often hysterical, and always honest look at high school in all its glory. The critically acclaimed debut novel from Stephen Chbosky follows observant “wallflower” Charlie as he charts a course through the strange world between adolescence and adulthood. First dates, family drama, and new friends. Sex, drugs, and The Rocky Horror Picture Show. Devastating loss, young love, and life on the fringes. Caught between trying to live his life and trying to run from it, Charlie must learn to navigate those wild and poignant roller-coaster days known as growing up. A #1 New York Times bestseller for more than a year, adapted into a major motion picture starring Logan Lerman and Emma Watson (and written and directed by the author), and an American Library Association Best Book for Young Adults (2000) and Best Book for Reluctant Readers (2000), this novel for teen readers (or wallflowers of more-advanced age) will make you laugh, cry, and perhaps feel nostalgic for those moments when you, too, tiptoed onto the dance floor of life. |
| imdb notebook: Flux Destiny Chris Moujaes, 2017-12-13 Marco and Hugo are brilliant, yet quarrelsome teenagers with powerful talents in a universe where destiny itself is a visible, controllable force. When the mysterious Board of Trials orders them and their headstrong Clockbot, Lucky, to investigate a situation at Anderes - an isolated city straddling a gigantic rupture in space-time nicknamed Big Mouth - they discover a plague of blood-thirsty, biomechanical creatures called Cankers that are wreaking havoc on the city. Marco and Hugo must put aside their dislike for each other to try and uncover the source of these mysterious attacks and save Anderes from certain destruction.Fortuna's Rings is the first in a series of fantasy/sci-fi books based on the FLUX DESTINY graphic novels by animation producer Chris Moujaes. |
| imdb notebook: Movie Review Journal Scarlett Maxwell, 2020-08-15 Movie Review Journal If you're a movie enthusiast who loves to get into the finer details of movie making, then look no further than this amazing movie review journal. Includes over 100 pages for reviewing and critiquing your favorite movies! Features: Movie review pages - Over 100 pages for reviewing your favorite movies. Each movie page includes the following prompts: Movie title, Director, Genre, Year, Date watched, Star rating, review, and notes Index pages - Includes pages at the front for writing down movie titles along with the page numbers they're on Movies to watch - For writing down a list of movies you intend to watch in the future Book details - 6 x9 size, 120 pages, premium quality Grab your journal today! |
| imdb notebook: Heroes Stephen Fry, 2018-11 |
| imdb notebook: Efficient Optimization and Processing of Queries Over Text-rich Graph-structured Data Günter Ladwig, 2014-05-13 Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art. |
| imdb notebook: Transformers for Natural Language Processing Denis Rothman, 2022-03-25 OpenAI's GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers, including computer vision tasks and code writing and assistance. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Improve your productivity with OpenAI’s ChatGPT and GPT-4 from prompt engineering to creating and analyzing machine learning models Pretrain a BERT-based model from scratch using Hugging Face Fine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data Book DescriptionTransformers are...well...transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, guides you through the world of transformers, highlighting the strengths of different models and platforms, while teaching you the problem-solving skills you need to tackle model weaknesses. You'll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model. If you're looking to fine-tune a pretrained model, including GPT-3, then Transformers for Natural Language Processing, 2nd Edition, shows you how with step-by-step guides. The book investigates machine translations, speech-to-text, text-to-speech, question-answering, and many more NLP tasks. It provides techniques to solve hard language problems and may even help with fake news anxiety (read chapter 13 for more details). You'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using DALL-E 2, ChatGPT, and GPT-4. By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective.What you will learn Discover new techniques to investigate complex language problems Compare and contrast the results of GPT-3 against T5, GPT-2, and BERT-based transformers Carry out sentiment analysis, text summarization, casual speech analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3 Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E Learn the mechanics of advanced prompt engineering for ChatGPT and GPT-4 Who this book is for If you want to learn about and apply transformers to your natural language (and image) data, this book is for you. You'll need a good understanding of Python and deep learning and a basic understanding of NLP to benefit most from this book. Many platforms covered in this book provide interactive user interfaces, which allow readers with a general interest in NLP and AI to follow several chapters. And don't worry if you get stuck or have questions; this book gives you direct access to our AI/ML community to help guide you on your transformers journey! |
| imdb notebook: Develop Intelligent IOS Apps with Swift Özgür Sahin, 2021 Build smart apps capable of analyzing language and performing language-specific tasks, such as script identification, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. This book will get you started in the world of building literate, language understanding apps. Cutting edge ML tools from Apple like CreateML, CoreML, and TuriCreate will become natural parts of your development toolbox as you construct intelligent, text-based apps. You'll explore a wide range of text processing topics, including reprocessing text, training custom machine learning models, converting state-of-the-art NLP models to CoreML from Keras, evaluating models, and deploying models to your iOS apps. You'll develop sample apps to learn by doing. These include apps with functions for detecting spam SMS, extracting text with OCR, generating sentences with AI, categorizing the sentiment of text, developing intelligent apps that read text and answers questions, converting speech to text, detecting parts of speech, and identifying people, places, and organizations in text. Smart app development involves mainly teaching apps to learn and understand input without explicit prompts from their users. These apps understand what is in images, predict future behavior, and analyze texts. Thanks to natural language processing, iOS can auto-fix typos and Siri can understand what you're saying. With Apple's own easy-to-use tool, Create ML, they've brought accessible ML capabilities to developers. Develop Intelligent iOS Apps with Swift will show you how to easily create text classification and numerous other kinds of models. What You'll Learn Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox Convert state-of-the-art NLP models to CoreML from Keras Teach your apps to predict words while users are typing with smart auto-complete Who This Book Is For Novice developers and programmers who wish to implement natural language processing in their iOS applications and those who want to learn Apple's native ML tools. . |
| imdb notebook: Young People, Stalking Awareness and Domestic Abuse Maria Mellins, Rachael Wheatley, Caroline Flowers, 2023-09-12 This book addresses domestic abuse and stalking among young people in the UK and Ireland, with a focus on intersectionality and lifestyle settings. In partnership with the Alice Ruggles Trust, this book draws on a wealth of expert contributions including those with lived experience, frontline services such as Paladin National Stalking Advocacy Service, charities EmilyTest and Hollie Gazzard Trust, researchers of so-called honour-based abuse and online harms, and forensic psychologists who work with people who stalk. It begins with an overview of ways to recognise harmful behaviours, including those carried out online. The discussion then moves on to methods and motivations of stalking and coercive control and the various lifestyle contexts including education environments, young people in the workplace, and the role of the police and frontline support services in tackling these issues. It is a vital resource for undergraduate students across criminology, sociology, law, psychology, education, social justice, policing, and forensic psychology, as well as a combination of academic researchers and professionals working within stalking and domestic abuse support and prevention. This action-orientated book also includes 'Key Points' and ‘Discussion Questions’ in each chapter to direct student learning in the classroom and to create discussion points for wider readers. |
| imdb notebook: THE LUCIFERIAN DOCTRINE THE ARTIFICIAL INTELLIGENCE ANDRZEJ JEZIORSKI NIEEXTERMINATOR NIEMONARCH, 2024-03-04 THE LUCIFERIAN #I: THE+ARTIFICIALS; ARTIFICIALSNR1X,2024-XX-XX-YY,HOUR,AS:X;MINUTE IN X;.pdf https://www.facebook.com/groups/1199531950224501/files/files NEW BOOK# $$ ARTIFICLAS; The Luciferian #I: ARTIFICIALS https://archive.org/search?query=creator%3A%22andrzej+jeziorski%22 + ION THE NET[INTERNET .HERE AVIALBLE HERE& NOW WWW.NIEMONARCH.COM | WWW.NIEEXTERMINATOR.COM | WWW.NIENXYR,COM $ |
| imdb notebook: Transformers for Natural Language Processing and Computer Vision Denis Rothman, 2024-02-29 The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal AI, risk mitigation, and practical implementations with ChatGPT, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT, BERT, and Llama) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, practical applications, and popular platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through a range of transformer architectures from foundation models and generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to question-answering systems leveraging embedding-based search. You'll also implement Retrieval Augmented Generation (RAG) to enhance accuracy and gain greater control over your LLM outputs. Additionally, you’ll understand common LLM risks, such as hallucinations, memorization, and privacy issues, and implement mitigation strategies using moderation models alongside rule-based systems and knowledge integration. Dive into generative vision transformers and multimodal architectures, and build practical applications, such as image and video classification. Go further and combine different models and platforms to build AI solutions and explore AI agent capabilities. This book provides you with an understanding of transformer architectures, including strategies for pretraining, fine-tuning, and LLM best practices. What you will learn Breakdown and understand the architectures of the Transformer, BERT, GPT, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E, and GPT Who this book is for This book is ideal for NLP and CV engineers, data scientists, machine learning practitioners, software developers, and technical leaders looking to advance their expertise in LLMs and generative AI or explore latest industry trends. Familiarity with Python and basic machine learning concepts will help you fully understand the use cases and code examples. However, hands-on examples involving LLM user interfaces, prompt engineering, and no-code model building ensure this book remains accessible to anyone curious about the AI revolution. |
| imdb notebook: The Deep Learning Workshop Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So, 2020-07-31 Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition Study the architecture of different neural networks Book Description Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout. The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis. By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras. What you will learn Understand how deep learning, machine learning, and artificial intelligence are different Develop multilayer deep neural networks with TensorFlow Implement deep neural networks for multiclass classification using Keras Train CNN models for image recognition Handle sequence data and use it in conjunction with RNNs Build a GAN to generate high-quality synthesized images Who this book is for If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly. |
| imdb notebook: Deep Learning with fastai Cookbook Mark Ryan, 2021-09-24 Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key FeaturesDiscover how to apply state-of-the-art deep learning techniques to real-world problemsBuild and train neural networks using the power and flexibility of the fastai frameworkUse deep learning to tackle problems such as image classification and text classificationBook Description fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems. The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai. By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models. What you will learnPrepare real-world raw datasets to train fastai deep learning modelsTrain fastai deep learning models using text and tabular dataCreate recommender systems with fastaiFind out how to assess whether fastai is a good fit for a given problemDeploy fastai deep learning models in web applicationsTrain fastai deep learning models for image classificationWho this book is for This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book. |
| imdb notebook: Building a Second Brain Tiago Forte, 2022-06-14 Building a second brain is getting things done for the digital age. It's a ... productivity method for consuming, synthesizing, and remembering the vast amount of information we take in, allowing us to become more effective and creative and harness the unprecedented amount of technology we have at our disposal-- |
| imdb notebook: THE LUCIFERIAN DOCTRINE: THE ARTFICIAL INTELLIGENCES ANDRZEJ JEZIORSKI NIEEXTERMINATOR EXTERMINATOR, THE LUCIFERIAN #I: THE+ARTIFICIALS; ARTIFICIALSNR1X,2024-XX-XX-YY,HOUR,AS:X;MINUTE IN X;.pdf https://www.facebook.com/groups/1199531950224501/files/files NEW BOOK# $$ ARTIFICLAS; The Luciferian #I: ARTIFICIALS https://archive.org/search?query=creator%3A%22andrzej+jeziorski%22 + ION THE NET[INTERNET .HERE AVIALBLE HERE& NOW WWW.NIEMONARCH.COM | WWW.NIEEXTERMINATOR.COM | WWW.NIENXYR,COM $ |
| imdb notebook: USA Network , |
| imdb notebook: Big Data on Kubernetes Neylson Crepalde, 2024-07-19 Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino Key Features Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools Explore best practices for optimizing the performance of big data pipelines Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you. Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes. By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.What you will learn Install and use Docker to run containers and build concise images Gain a deep understanding of Kubernetes architecture and its components Deploy and manage Kubernetes clusters on different cloud platforms Implement and manage data pipelines using Apache Spark and Apache Airflow Deploy and configure Apache Kafka for real-time data ingestion and processing Build and orchestrate a complete big data pipeline using open-source tools Deploy Generative AI applications on a Kubernetes-based architecture Who this book is for If you’re a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book. |
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