Table of Contents
- Introduction to Deep Learning
- Getting to know Tensorflow
- Gradient Descent and its variants
- Generating song lyrics using RNN
- Improvements to the RNN
- Demystifying Convolutional networks
- Representation learning using word embeddings
- Generative adversarial networks
- More About GANs
- Autoencoders
- Few shot learnings
