Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Neural Network Programming with Tensorflow Rajdeep Dua, Manpreet Singh Ghotra

ISBN: 978-1-78839-039-2

• Learn Linear Algebra and mathematics behind neural network.
• Dive deep into Neural networks from the basic to advanced concepts like CNN, RNN Deep Belief Networks, Deep Feedforward Networks.
• Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points
• Learn through real world examples like Sentiment Analysis.
• Train different types of generative models and explore autoencoders.
• Explore TensorFlow as an example of deep learning implementation.

TensorFlow 1.x Deep Learning Cookbook Antonio Gulli, Amita Kapoor

ISBN: 978-1-78829-359-4

• Install TensorFlow and use it for CPU and GPU operations
• Implement DNNs and apply them to solve different AI-driven problems.
• Leverage different data sets such as MNIST, CIFAR-10, and Youtube8m with TensorFlow and learn how to access and use them in your code.
• Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box.
• Use different regression techniques for prediction and classification problems
• Build single and multilayer perceptrons in TensorFlow
• Implement CNN and RNN in TensorFlow, and use it to solve real-world use cases.
• Learn how restricted Boltzmann Machines can be used to recommend movies.
• Understand the implementation of Autoencoders and deep belief networks, and use them for emotion detection.
• Master the different reinforcement learning methods to implement game playing agents.
• GANs and their implementation using TensorFlow.