# Slides for classes taught by Adi

Jan 30 | Neural Networks and Deep Learning | Google Slides | |

Feb 01 | Convolutional Neural Networks | Google Slides | |

Mar 09 | Recurrent Neural Networks | Google Slides | |

Mar 15 | Object localization and detection | Google Slides | |

Mar 27 | Neural Networks with Memory | Google Slides |

# Reading Material (Highly recommeded)

- Part 1: Nonlinear Classifiers and The Backpropagation Algorithm
- Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks

# Deep Learning References

## Courses

- UVA Deep Learning course. Contains easy to follow class video lectures, covers most of deep learning.
- CS231n: Convolutional Neural Networks for Visual Recognition Covers CNN only but in depth.

## Textbook

- Deep Learning. Very thorough and well written book. Covers almost everything.
- Neural Networks and Deep Learning. Light reading, only 6 chapters, easy to follow.
- Machine Learning. For better understanding of ML concepts, easy to follow.