Natural Language Processing with TensorFlow
Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is one of the leading frameworks for implementing production-grade machine learning solutions. By the end of this book, you’ll be ready to confidently develop end-to-end machine learning solutions efficiently with TensorFlow.
Offered by
Difficulty Level
Intermediate
Completion Time
17h8m
Language
English
About Book
Who Is This Book For?
This book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required.
Natural Language Processing with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h8m total length
Introduction to Natural Language Processing
Understanding TensorFlow 2
Word2vec – Learning Word Embeddings
Advanced Word Vector Algorithms
Sentence Classification with Convolutional Neural Networks
Recurrent Neural Networks
Understanding Long Short-Term Memory Networks
Applications of LSTM – Generating Text
Sequence-to-Sequence Learning – Neural Machine Translation
Transformers
Image Captioning with Transformers
Appendix A: Mathematical Foundations and Advanced TensorFlow
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