Getting Started with Google BERT will help you become well-versed with the BERT model from scratch and learn how to create interesting NLP applications. You'll understand several variants of BERT such as ALBERT, RoBERTa, DistilBERT, ELECTRA, VideoBERT, and many others in detail.
Getting Started with Google BERT will help you become well-versed with the BERT model from scratch and learn how to create interesting NLP applications. You'll understand several variants of BERT such as ALBERT, RoBERTa, DistilBERT, ELECTRA, VideoBERT, and many others in detail.
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.
Book #2 Bert's Misadventures - The Land of Zenerath Bert and his friends continue their adventure. They learn the magic from the book and then open a portal to the land of Zenerath. They cross over and begin their quest to retrieve powerful magical weapons to be used in the battle to defeat the evil magic users that are currently barricaded in the north of the country. Part of the quest requires them to re-establish contact with the Elves and Dwarves. Join them as they attempt to locate the lost brothers.
Learn how to redesign NLP applications from scratch. KEY FEATURES • Get familiar with the basics of any Machine Learning or Deep Learning application. • Understand how does preprocessing work in NLP pipeline. • Use simple PyTorch snippets to create basic building blocks of the network commonly used in NLP. • Learn how to build a complex NLP application. • Get familiar with the advanced embedding technique, Generative network, and Audio signal processing techniques. DESCRIPTION Natural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied. This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). This book not only covers the classical concept of text processing but also shares the recent advancements. This book will empower users in designing networks with the least computational and time complexity. This book not only covers basics of Natural Language Processing but also helps in deciphering the logic behind advanced concepts/architecture such as Batch Normalization, Position Embedding, DenseNet, Attention Mechanism, Highway Networks, Transformer models and Siamese Networks. This book also covers recent advancements such as ELMo-BiLM, SkipThought, and Bert. This book also covers practical implementation with step by step explanation of deep learning techniques in Topic Modelling, Text Generation, Named Entity Recognition, Text Summarization, and Language Translation. In addition to this, very advanced and open to research topics such as Generative Adversarial Network and Speech Processing are also covered. WHAT YOU WILL LEARN • Learn how to leveraging GPU for Deep Learning • Learn how to use complex embedding models such as BERT • Get familiar with the common NLP applications. • Learn how to use GANs in NLP • Learn how to process Speech data and implementing it in Speech applications WHO THIS BOOK IS FOR This book is a must-read to everyone who wishes to start the career with Machine learning and Deep Learning. This book is also for those who want to use GPU for developing Deep Learning applications. TABLE OF CONTENTS 1. Understanding the basics of learning Process 2. Text Processing Techniques 3. Representing Language Mathematically 4. Using RNN for NLP 5. Applying CNN In NLP Tasks 6. Accelerating NLP with Advanced Embeddings 7. Applying Deep Learning to NLP tasks 8. Application of Complex Architectures in NLP 9. Understanding Generative Networks 10. Techniques of Speech Processing 11. The Road Ahead
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.
It all started when he tried to end it all. Bert Hoover jumped from a bridge, only to be rudely rescued by a flying saucer. Now he’s on the backward planet of Mardalu, enslaved by the brutal Morans. His only friend is Janice, but she’s been sold into slavery as well. The role of hero doesn't come naturally to a chronic under-achiever, but Bert has run out of places to run. Janice isn't counting on him for rescue. She doesn't take him seriously enough. But Bert, with nowhere to go but up, sets out to become a different kind of man. First he has to do the unthinkable - escape from slavery. Then all he has to do is the impossible - find Janice, rescue her from the Morans, and somehow find a way back to Earth. keywords: science fiction, planet, sword and planet, adventure, spaceship, ufo, rescue, swords
