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

Deep Learning By Example

Ahmed Menshawy

ISBN: 978-1-78839-990-6

• Understand the fundamentals of deep learning and how it is different from machine learning
• Get familiarized with TensorFlow, one of the most popular libraries for advanced machine learning
• Increase the predictive power of your model using feature engineering
• Understand the basics of deep learning by solving a digit classification problem of MNIST
• Demonstrate face generation based on the CelebA database, a promising application of generative models

Deep Learning with PyTorch

Vishnu Subramanian

ISBN: 978-1-78862-433-6

• 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