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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
Languages
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Toc

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
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TF Mobile demo on Android

In this section, we shall learn about recreating the Android demo app provided by the TensorFlow team in their official repo. The Android demo will install the following four apps on your Android device:

  • TF Classify: This is an object identification app that identifies the images in the input from the device camera and classifies them in one of the pre-defined classes. It does not learn new types of pictures but tries to classify them into one of the categories that it has already learned. The app is built using the inception model pre-trained by Google.
  • TF Detect: This is an object detection app that detects multiple objects in the input from the device camera. It continues to identify the objects as you move the camera around in continuous picture feed mode.
  • TF Stylize: This is a style transfer app that transfers one of the selected predefined styles...
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