Table of Contents
- Building a neural network with Tensorflow and Keras
- Building a deep neural network
- Applications of deep feed forward neural networks
- Building a deep convolutional neural networ
- Transfer Learning
- Object detection and localization
- Applications of image analysis in self-driving car
- Image generation
- Encoding inputs
- Text analysis using word vectors
- Building a Recurrent neural Network
- Applications of many to one architecture based RNN
- Sequence to Sequence learning
- End to end learning
- Audio analysis
- Reinforcement learning

