Machine Learning Basics
Linear Algebra, Probability Distributions, Numerical Computation
Learning Algorithms, Hyper-parameters and Validation Sets

Introduction to Neural Networks,
Perceptron Learning, Back propagation Learning

Deep Learning ( Deep Nets )
Deep Feedforward Networks
Regularization for Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks

Applications
Large-Scale Deep Learning
Speech Recognition
Natural Language Processing (NLP)