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Neural Networks with Keras Cookbook

You're reading from   Neural Networks with Keras Cookbook Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789346640
Length 568 pages
Edition 1st Edition
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Authors (2):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Srinivas Pradeep Srinivas Pradeep
Author Profile Icon Srinivas Pradeep
Srinivas Pradeep
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Toc

Table of Contents (18) Chapters Close

Preface 1. Building a Feedforward Neural Network 2. Building a Deep Feedforward Neural Network FREE CHAPTER 3. Applications of Deep Feedforward Neural Networks 4. Building a Deep Convolutional Neural Network 5. Transfer Learning 6. Detecting and Localizing Objects in Images 7. Image Analysis Applications in Self-Driving Cars 8. Image Generation 9. Encoding Inputs 10. Text Analysis Using Word Vectors 11. Building a Recurrent Neural Network 12. Applications of a Many-to-One Architecture RNN 13. Sequence-to-Sequence Learning 14. End-to-End Learning 15. Audio Analysis 16. Reinforcement Learning 17. Other Books You May Enjoy

Creating a document vector

To understand the reason for having a document vector, let's go through the following intuition.

The word bank is used in the context of finance and also in the context of a river. How do we identify whether the word bank in the given sentence or document is related to the topic of a river or the topic of finance?

This problem could be solved by adding a document vector, which works in a similar way to word-vector generation but with the addition of a one-hot encoded version of the paragraph ID, as follows:

In the preceding scenario, the paragraph ID encompasses the delta that is not captured by just the words. For example, in the sentence on the bank of river where on the bank of is the input and river is the output, the words on, the, and of do not contribute to the prediction as they are frequently-occurring words, while the word bank confuses...

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