Transformers for Natural Language Processing

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey Features//Build and implement state-of-the-art language models such as the original Transformer BERT T5 and GPT-2 using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machine Test transformer models on advanced use casesbr>/Book Description//The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations speech-to-text text-to-speech language modeling question answering and many more NLP domains with transformers./br>/The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google Facebook Microsoft OpenAI and Hugging Face./br>/The book trains you in three stages. The first stage introduces you to transformer architectures starting with the original transformer before moving on to RoBERTa BERT and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification./br>/By the end of this NLP book you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets./br>/What You Will Learn//Use the latest pretrained transformer modelsGrasp the workings of the original Transformer GPT-2 BERT T5 and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms including Hugging Face Trax and AllenNLPApply Python TensorFlow and Keras programs to sentiment analysis text summarization speech recognition machine translations and moreMeasure the productivity of key transformers to define their scope potential and limits in productionbr>/Who this book is for//Since the book does not teach basic programming you must be familiar with neural networks Python PyTorch and TensorFlow in order to learn their implementation with Transformers./Readers who can benefit the most from this book include experienced deep learning & NLP practitioners and data analysts & data scientists who want to process the increasing amounts of language-driven data./