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

Deep Learning with PyTorch
Vishnu Subramanian

ISBN: 9781788624336

• Use PyTorch for GPU-accelerated tensor computations
• Build custom datasets and data loaders for images and test the models using torchvision and torchtext
• Build an image classifier by implementing CNN architectures using PyTorch
• Build systems that do text classification and language modeling using RNN, LSTM, and GRU
• Learn advanced CNN architectures such as ResNet, Inception, Densenet, and learn how to use them for transfer learning
• Learn how to mix multiple models for a powerful ensemble model
• Generate new images using GAN’s and generate artistic images using style transfer

Python Deep Learning
Gianmario Spacagna, Daniel Slater, Et al
ISBN: 9781786464453

• 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