Table of Contents
- Getting Started with Deep Learning
- A First Look at TensorFlow
- Feed-Forward Neural Networks with TensorFlow
- Convolutional Neural Networks
- Optimizing TensorFlow Autoencoders
- Recurrent Neural Networks
- Heterogeneous and Distributed Computing
- Advanced TensorFlow Programming
- Recommendation Systems using Factorization Machines
- Reinforcement Learning

