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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

MS-COCO dataset for image captioning

Microsoft published the Common Objects in Context or COCO dataset in 2014. All the versions of the dataset can be found at cocodataset.org. The COCO dataset is a big dataset that's used for object detection, segmentation, and captioning, among other annotations. Our focus will be on the 2014 training and validation images, where five captions per image are available. There are roughly 83K images in the training set and 41K images in the validation set. The training and validation images and captions need to be downloaded from the COCO website.

Large download warning: The training image dataset is approximately 13 GB, while the validation dataset is over 6 GB. The annotations for the image files, which include captions, are about 214 MB in size. Please be careful of your internet bandwidth usage and potential costs as you download this dataset.

Google has also published a new Conceptual Captions dataset at https://ai.google...

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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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