E-book details

Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Armando Fandango

Ebook
TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs.

This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images.

You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected.
The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems.

  • 1. Tensorflow 101
  • 2. High-Level Libraries for TensorFlow
  • 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. TensorFlow Processing Units
  • Title: Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
  • Author: Armando Fandango
  • Original title: Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
  • ISBN: 9781788297004, 9781788297004
  • Date of issue: 2018-01-22
  • Format: Ebook
  • Item ID: e_14tj
  • Publisher: Packt Publishing