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Natural Language Processing with TensorFlow

You're reading from   Natural Language Processing with TensorFlow Teach language to machines using Python's deep learning library

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788478311
Length 472 pages
Edition 1st Edition
Languages
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Authors (2):
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Thushan Ganegedara Thushan Ganegedara
Author Profile Icon Thushan Ganegedara
Thushan Ganegedara
Motaz Saad Motaz Saad
Author Profile Icon Motaz Saad
Motaz Saad
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Natural Language Processing 2. Understanding TensorFlow FREE CHAPTER 3. Word2vec – Learning Word Embeddings 4. Advanced Word2vec 5. Sentence Classification with Convolutional Neural Networks 6. Recurrent Neural Networks 7. Long Short-Term Memory Networks 8. Applications of LSTM – Generating Text 9. Applications of LSTM – Image Caption Generation 10. Sequence-to-Sequence Learning – Neural Machine Translation 11. Current Trends and the Future of Natural Language Processing A. Mathematical Foundations and Advanced TensorFlow Index

Tensor/matrix operations

Transpose

Transpose is an important operation defined for matrices or tensors. For a matrix, the transpose is defined as follows:

Transpose

Here, AT denotes the transpose of A.

An example of the transpose operation can be illustrated as follows:

Transpose

After the transpose operation:

Transpose

For a tensor, transpose can be seen as permuting the dimensions order. For example, let's define a tensor S, as shown here:

Transpose

Now a transpose operation (out of many) can be defined as follows:

Transpose

Multiplication

Matrix multiplication is another important operation that appears quite frequently in linear algebra.

Given the matrices Multiplication and Multiplication, the multiplication of A and B is defined as follows:

Multiplication

Here, Multiplication.

Consider this example:

Multiplication
Multiplication

This gives

Multiplication

, and the value of C is as follows:

Multiplication

Element-wise multiplication

Element-wise matrix multiplication (or the Hadamard product) is computed for two matrices that have the same shape. Given the matrices Element-wise multiplication and Element-wise multiplication, the element-wise multiplication of A and B is defined as follows...

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