Book Content
chapters • 17h4m total length
1. Introduction to Deep Learning
2. Getting to know Tensorflow
3. Gradient Descent and its variants
4. Generating song lyrics using RNN
5. Improvements to the RNN
6. Demystifying Convolutional networks
7. Representation learning using word embeddings
8. Generative adversarial networks
9. More About GANs
10. Autoencoders
11. Few shot learnings
