Book Content
chapters • 9h36m total length
1. Getting Started
2. Deep Learning with R
3. Convolution Neural Network
4. Data representation using Autoencoders
5. Generative models in Deep learning
6. Recurrent Neural Networks
7. Reinforcement learning
8. Application of Deep Learning in Text-Mining
9. Application of Deep Learning in Signal processing
10. Transfer learning
