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

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.

Deep Learning with Keras
Antonio Gulli, Sujit Pal

ISBN: 978-1-78712-842-2

• Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm
• Fine-tune a neural network to improve the quality of results
• Use deep learning for image and audio processing
• Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
• Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
• Explore the process required to implement Autoencoders
• Evolve a deep neural network using reinforcement learning