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Mastering TensorFlow 1.x

You're reading from   Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788292061
Length 474 pages
Edition 1st Edition
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Table of Contents (21) Chapters Close

Preface 1. TensorFlow 101 2. High-Level Libraries for TensorFlow FREE CHAPTER 3. Keras 101 4. Classical Machine Learning with TensorFlow 5. Neural Networks and MLP with TensorFlow and Keras 6. RNN with TensorFlow and Keras 7. RNN for Time Series Data with TensorFlow and Keras 8. RNN for Text Data with TensorFlow and Keras 9. CNN with TensorFlow and Keras 10. Autoencoder with TensorFlow and Keras 11. TensorFlow Models in Production with TF Serving 12. Transfer Learning and Pre-Trained Models 13. Deep Reinforcement Learning 14. Generative Adversarial Networks 15. Distributed Models with TensorFlow Clusters 16. TensorFlow Models on Mobile and Embedded Platforms 17. TensorFlow and Keras in R 18. Debugging TensorFlow Models 19. Tensor Processing Units
20. Other Books You May Enjoy

TFLearn

TFLearn is a modular library in Python that is built on top of core TensorFlow.

TFLearn is different from the TensorFlow Learn package which is also known as TF Learn (with one space in between TF and Learn). TFLearn is available at the following link: http://tflearn.org, and the source code is available on GitHub at the following link: https://github.com/tflearn/tflearn.

TFLearn can be installed in Python 3 with the following command:

pip3 install tflearn
To install TFLearn in other environments or from source, please refer to the following link: http://tflearn.org/installation/.

The simple workflow in TFLearn is as follows:

  1. Create an input layer first.
  2. Pass the input object to create further layers.
  3. Add the output layer.
  4. Create the net using an estimator layer such as regression.
  5. Create a model from the net created in the previous step.
  6. Train the model with the model...
You have been reading a chapter from
Mastering TensorFlow 1.x
Published in: Jan 2018
Publisher: Packt
ISBN-13: 9781788292061
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