Appendix 1. Other Books You May Enjoy
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: 9781788293594
- 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.
Machine Learning with TensorFlow 1.x Quan Hua, Shams Ul Azeem, Saif Ahmed
ISBN: 9781786462961
- Explore how to use different machine learning models to ask different questions of your data
- Learn how to build deep neural networks using TensorFlow 1.x
- Cover key tasks such as clustering, sentiment analysis, and regression analysis using TensorFlow 1.x
- Find out how to write clean and elegant Python code that will optimize the strength of your algorithms
- Discover how to embed your machine learning model in a web application for increased accessibility
- Learn how to use multiple GPUs for faster training using AWS
