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Advanced Natural Language Processing with TensorFlow 2

You're reading from Advanced Natural Language Processing with TensorFlow 2 Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781800200937

Length 380 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Authors (2):

Tony Mullen

Ashish Bansal

View More author details

Table of Contents (13) Chapters

Preface

1. Essentials of NLP

2. Understanding Sentiment in Natural Language with BiLSTMs FREE CHAPTER

3. Named Entity Recognition (NER) with BiLSTMs, CRFs, and Viterbi Decoding

4. Transfer Learning with BERT

5. Generating Text with RNNs and GPT-2

6. Text Summarization with Seq2seq Attention and Transformer Networks

7. Multi-Modal Networks and Image Captioning with ResNets and Transformer Networks

8. Weakly Supervised Learning for Classification with Snorkel

9. Building Conversational AI Applications with Deep Learning

10. Installation and Setup Instructions for Code

11. Other Books You May Enjoy

12. Index

Installation and Setup Instructions for Code

Instructions for setting up an environment for the code in the book are provided in this chapter. These instructions:

Have been tested on macOS 10.15 and Ubuntu 18.04.3 LTS. You may have to translate these instructions for Windows.
Only cover the CPU version of TensorFlow. For the latest GPU installation instructions, please follow https://www.tensorflow.org/install/gpu. Please note that the use of a GPU is highly recommended. It will cut down the training times of complex models from days to hours.

The installation uses Anaconda and pip. It is assumed that Anaconda is set up and ready to go on your machine. Note that we use some new and some uncommon packages. These packages may not be available through conda. We will use pip in such cases.

Notes:

On macOS: conda 49.2, pip 20.3.1
On Ubuntu: conda 4.6.11, pip 20.0.2

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Authors (2)

Mullen

Mullen

See other products by Mullen

Ashish Bansal

Ashish Bansal

Ashish is an AI/ML leader, a well-known speaker, and an astute technologist with over 20 years of experience in the field. He has a Bachelor's in technology from IIT BHU, and an MBA in marketing from Kellogg School of Management. He is currently the Director of Recommendations at Twitch where he works on building scalable recommendation systems across a variety of product surfaces, connecting content to people. He has worked on recommendation systems at multiple organizations, most notably Twitter where he led Trends and Events recommendations and at Capital One where he worked on B2B and B2C products. Ashish was also a co-founder of GALE Partners, a full-service digital agency in Toronto, and spent over 9 years at SapientNitro, a leading digital agency.

See other products by Ashish Bansal

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