Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

The Transformers for Natural Language Processing book is a comprehensive guide to building and implementing state-of-the-art language models using transformer architecture.

With this book, you'll learn how to train and apply transformer models for various NLP tasks such as machine translation, speech-to-text, text-to-speech, language modeling, question answering, and more.

The book covers the original Transformer, BERT, T5, and GPT-2 models, and provides hands-on applications in Python using Google Colaboratory Notebooks.

You'll also learn how to test transformer models on advanced use cases and gain a deep understanding of the transformer architecture.

Don't miss out on this opportunity to master the transformer architecture and become an expert in natural language processing.

Get your copy today!