Lectures

Lecture 1

Introduction to Deep Learning

Lecture 2

Neural Networks

Backpropagation

Modular Design

Code

Lecture 3

Convolutional Neural Networks

Lecture 4

Regularization

Transfer Learning

Data Augmentation

Lecture 5

Recurrent Neural Networks

Long Short-Term Memory

Sequence-to-sequence

Lecture 6

Auto-encoders

Convolutional Auto-encoders

Denoising Auto-encoders

Masked Auto-encoders

Contractive Auto-encoders

Stacked Auto-encoders

Applications

Lecture 7

Generative Adversarial Networks

Cycle-consistent Generative Adversarial Networks

Lecture 8

Object Localization

Object Detection

Faster R-CNN

YOLO

Labs

Lab1

Introduction to Tensorflow

CNNs for Image Classification

MNIST Dataset

Solution

Lab2

CNNs for Text Classification

Solution

Lab3

Transfer Learning

If possible, please download in advance the Caltech 101 dataset from this url

Solution

Lab4

Long Short-Term Memory networks (LSTM)