1. Deep Neural Network

1.1 DNN Back-Propagation Derivation

1.2 Circuit Theory and Deep Learning

2. Tuning

2.1 Setting Up Your Machine Learning Application

2.2 Regularizing Your Neural Network

2.3 Setting Up Your Optimization Problem

2.4 Optimization Algorithms

2.5 Hyper-Parameter Tuning

3. Strategy

3.1 ML Strategy 1

3.2 ML Strategy 2

4. Convolutional Neural Network

4.1 Neural Style Transfer

Source: Coursera

Source: Coursera

4.2 Convolutional Neural Network

4.3 CNN Case Study

4.4 Object Detection

4.5 Face Recognition

5. Recurrent Neural Network

5.1 Recurrent Neural Networks

5.2 Word Embedding

Source: Coursera

Source: Coursera

5.3 Various Sequence to Sequence Architectures

Source: Coursera

Source: Coursera