Table of Contents
- Introduction to Machine Learning
- Setup and Introduction to Deep Learning Frameworks
- Preparing Data
- Learning from Data
- Training a Single Neuron
- Training Multiple Layers of Neurons
- Autoencoders
- Deep Autoencoders
- Variational Autoencoders
- Restricted Boltzmann Machines
- Deep and Wide Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks
- Final Remarks on The Future of Deep Learning
