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Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers library Key FeaturesExplore the encoder and decoder of the transformer modelBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERTDiscover how to pre-train and fine-tune BERT models for several NLP tasksBook Description BERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results. This book is an introductory guide that will help you get to grips with Google's BERT architecture. With a detailed explanation of the transformer architecture, this book will help you understand how the transformer’s encoder and decoder work. You’ll explore the BERT architecture by learning how the BERT model is pre-trained and how to use pre-trained BERT for downstream tasks by fine-tuning it for NLP tasks such as sentiment analysis and text summarization with the Hugging Face transformers library. As you advance, you’ll learn about different variants of BERT such as ALBERT, RoBERTa, and ELECTRA, and look at SpanBERT, which is used for NLP tasks like question answering. You'll also cover simpler and faster BERT variants based on knowledge distillation such as DistilBERT and TinyBERT. The book takes you through MBERT, XLM, and XLM-R in detail and then introduces you to sentence-BERT, which is used for obtaining sentence representation. Finally, you'll discover domain-specific BERT models such as BioBERT and ClinicalBERT, and discover an interesting variant called VideoBERT. By the end of this BERT book, you’ll be well-versed with using BERT and its variants for performing practical NLP tasks. What you will learnUnderstand the transformer model from the ground upFind out how BERT works and pre-train it using masked language model (MLM) and next sentence prediction (NSP) tasksGet hands-on with BERT by learning to generate contextual word and sentence embeddingsFine-tune BERT for downstream tasksGet to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT modelsGet the hang of the BERT models based on knowledge distillationUnderstand cross-lingual models such as XLM and XLM-RExplore Sentence-BERT, VideoBERT, and BARTWho this book is for This book is for NLP professionals and data scientists looking to simplify NLP tasks to enable efficient language understanding using BERT. A basic understanding of NLP concepts and deep learning is required to get the best out of this book.
Creating Q*bert and Other Classic Video Arcade Games takes you inside the video arcade game industry during the classic decades of the 1980s and 1990s. Warren Davis, the creator of the groundbreaking Q*bert, worked as a member of the creative teams who developed some of the most popular video games of all time, including Joust 2, Mortal Kombat, NBA Jam, and Revolution X. In a witty and entertaining narrative, Davis shares insightful stories that offer a behind-the-scenes look at what it was like to work as a designer and programmer at the most influential and dominant video arcade game manufacturers of the era, including Gottlieb, Williams/Bally/Midway, and Premiere. Likewise, the talented artists, designers, creators, and programmers Davis has collaborated with over the years reads like a who’s who of video gaming history: Eugene Jarvis, Tim Skelly, Ed Boon, Jeff Lee, Dave Thiel, John Newcomer, George Petro, Jack Haegar, and Dennis Nordman, among many others. The impact Davis has had on the video arcade game industry is deep and varied. At Williams, Davis created and maintained the revolutionary digitizing system that allowed actors and other photo-realistic imagery to be utilized in such games as Mortal Kombat, T2, and NBA Jam. When Davis worked on the fabled Us vs. Them, it was the first time a video game integrated a live action story with arcade-style graphics. On the one-of-a-kind Exterminator, Davis developed a brand new video game hardware system, and created a unique joystick that sensed both omni-directional movement and rotation, a first at that time. For Revolution X, he created a display system that simulated a pseudo-3D environment on 2D hardware, as well as a tool for artists that facilitated the building of virtual worlds and the seamless integration of the artist’s work into game code. Whether you’re looking for insights into the Golden Age of Arcades, would like to learn how Davis first discovered his design and programming skills as a teenager working with a 1960s computer called a Monrobot XI, or want to get the inside scoop on what it was like to film the Rock and Roll Hall of Fame band Aerosmith for Revolution X, Davis’s memoir provides a backstage tour of the arcade and video game industry during its most definitive and influential period.
This translation originally published in 2014.
Anyone who can hold a pencil can learn to draw. In this book, Bert Dodson shares his complete drawing system—fifty-five "keys" that you can use to render any subject with confidence, even if you're a beginner. These keys, along with dozens of practice exercises, will help you draw like an artist in no time. You'll learn how to: • Restore, focus, map, and intensify • Free your hand action, then learn to control it • Convey the illusions of light, depth, and texture • Stimulate your imagination through "creative play"
Eleven-year-old Ned, who prefers the name Treb, uses his diary to record his wild thoughts about romance, school, and his eventful life. Translated from the original Swedish.
Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you’ll cover word embedding and their types along with the basics of BERT. After this solid foundation, you’ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You’ll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT. What You Will Learn Examine the fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a question-answering system from scratch Train question-answering systems for your own data Who This Book Is For AI and machine learning developers and natural language processing developers.
It is not hard to argue that every black performer in show business owes something to Bert Williams. Discovered in California in 1890 by a minstrel troupe manager, Williams swiftly became a regular player in the troupe. Traveling on from the rough-and-ready "medicine shows" that then dotted the West, he rose through the ranks of big-time vaudeville in New York City, and finally ascended to the previously all-white pinnacle of live-stage success: the fabled Ziegfeld Follies on Broadway. Inspite of his triumphs-he brought the first musical with an all-black cast to Broadway in 1903-he was often viewed by the black community with more critical suspicion than admiration because of his controversial decision to perform in blackface. Modest, private, and conservative in his personal life, Williams left political activism and soapbox thumping to others. More than the simple narration of a remarkable life, Introducing Bert Williams offers a fascinating window into the fraught issues surrounding race and artistic expression in American culture. The story of Williams's long and varied career is a whirlwind of inner turmoil, racial tension, glamour, and striving-nothing less than the birth of American show business.
Book #3 Bert's Misadventures - The Quest Bert and his group, which now include Elves and Dwarves meet with Katherine, Queen of Zenerath to inform her of their quest and seek help in forming and army to invade the north. They continue to gather weapons and power, building for the battle that is ahead. Stay with them and find out the surprising end to the misadventure.
Bert's Misadventures: The Book of Magic. In book 1 of this adventure series, follow what happens when Bert comes into possession of a book of magic. He and his gaming group learn the magic in the book and open a portal to a distant realm. Once there they begin to collect powerful magical items to assist them in the war they will have to rid the land of two evil magic users. The big question is will they find the items they need and learn to work as a group before some of them are killed? Book I: Bert was lucky and impulsive. Being lucky the consequences of his acts usually fell on those around him. He finds a book of magic and other items sent from a realm called Zenerath. Without really thinking it through, Bert agrees to learn magic and create a portal to return to Zenerath to battle two evil beings. The consequences of this act begin to fall on Bert and his close gaming friends. Come along and see just how much trouble Bert can get into as he and his friends learn Magic. REAL MAGI