Appendix 1. Other Books You May Enjoy
If you enjoyed this book, you may be interested in these other books by Packt:
Mastering Machine Learning Algorithms Giuseppe Bonaccorso
ISBN: 978-1-78862-111-3
- Explore how a ML model can be trained, optimized, and evaluated
- Understand how to create and learn static and dynamic probabilistic models
- Successfully cluster high-dimensional data and evaluate model accuracy
- Discover how artificial neural networks work and how to train, optimize, and validate them
- Work with Autoencoders and Generative Adversarial Networks
- Apply label spreading and propagation to large datasets
- Explore the most important Reinforcement Learning techniques
Python Deep Learning Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants
ISBN: 978-1-78646-445-3
- Get a practical deep dive into deep learning algorithms
- Explore deep learning further with Theano, Caffe, Keras, and TensorFlow
- Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
- Dive into Deep Belief Nets and Deep Neural Networks
- Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
- Get to know device strategies so you can use deep learning algorithms and libraries in the real world
