Advanced Natural Language Processing with TensorFlow 2
This book provides hands-on training in NLP tools and techniques with intrinsic details. Apart from gaining expertise, you will be able to carry out novel state-of-the-art research using the skills gained.
Offered by
Difficulty Level
Intermediate
Completion Time
12h40m
Language
English
About Book
Who Is This Book For?
This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.
Advanced Natural Language Processing with TensorFlow 2
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h40m total length
Essentials of NLP
Understanding Sentiment in Natural Language with BiLSTMs
Named Entity Recognition (NER) with BiLSTMs, CRFs and Viterbi Decoding
Transfer Learning with BERT
Generating Text with RNNs and GPT-2
Text Summarization with Seq2seq Attention and Transformer Networks
Multi-Modal Networks and Image Captioning with ResNets and Transformer Networks
Weakly Supervised Learning for Classification with Snorkel
Building Conversational AI Applications with Deep Learning
Installation and Setup Instructions for Code
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