Natural Language Processing With Deep Learning in Python

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Build smart AI-driven linguistic applications using deep learning and NLP techniques

Mastering Natural Language Processing with Spacy, NLTK, PyTorch, NLP Techniques, Text Data Analysis, Hands-on Projects

An intuitive introduction to processing natural language data with TensorFlow-Keras deep learning models.