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Deep Learning for Natural Language Processing

You're reading from   Deep Learning for Natural Language Processing Solve your natural language processing problems with smart deep neural networks

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Product type Paperback
Published in Jun 2019
Publisher
ISBN-13 9781838550295
Length 372 pages
Edition 1st Edition
Languages
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Authors (4):
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Karthiek Reddy Bokka Karthiek Reddy Bokka
Author Profile Icon Karthiek Reddy Bokka
Karthiek Reddy Bokka
Monicah Wambugu Monicah Wambugu
Author Profile Icon Monicah Wambugu
Monicah Wambugu
Tanuj Jain Tanuj Jain
Author Profile Icon Tanuj Jain
Tanuj Jain
Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
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Toc

Table of Contents (11) Chapters Close

About the Book 1. Introduction to Natural Language Processing FREE CHAPTER 2. Applications of Natural Language Processing 3. Introduction to Neural Networks 4. Foundations of Convolutional Neural Network 5. Recurrent Neural Networks 6. Gated Recurrent Units (GRUs) 7. Long Short-Term Memory (LSTM) 8. State-of-the-Art Natural Language Processing 9. A Practical NLP Project Workflow in an Organization 1. Appendix

Installing Keras

To install Keras, perform the following steps:

  1. Since Keras requires another deep learning framework to behave as the backend, you'll need to download another framework first, and TensorFlow is recommended.

    To install TensorFlow for your platform, click on https://www.tensorflow.org/install/.

  2. Once the backend has been installed, you can install Keras using either the following command:

    sudo pip install keras

    Alternatively, you can install it from the Github source, clone Keras using this:

    git clone https://github.com/keras-team/keras.git

  3. Install Keras on Python using the following commands:

    cd keras

    sudo python setup.py install

    You need to configure the backend now. Refer to the following link for more information: (https://keras.io/backend/)

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