Book Content
chapters • 8h4m total length
1. Introduction to Deep Learning in Go
2. What Is a Neural Network and How Do I Train One?
3. Beyond Basic Neural Networks - Autoencoders and RBMs
4. CUDA - GPU-Accelerated Training
5. Next Word Prediction with Recurrent Neural Networks
6. Object Recognition with Convolutional Neural Networks
7. Maze Solving with Deep Q-Networks
8. Generative Models with Variational Autoencoders
9. Building a Deep Learning Pipeline
10. Scaling Deployment
