Course Name | Assignment |
---|---|
Neural Network Basics | Python Basics with Numpy |
Logistic Regression with a Neural Network Mindset | |
Shallow Neural Networks | Planar data classification with one hidden layer |
Deep Neural Networks | Building your Deep Neural Network Step by Step |
Deep Neural Network Application |
Course Name | Assignment |
---|---|
Practical Aspects of Deep Learning |
Initialization |
Regularization | |
Gradient Checking | |
Optimization Algorithms | Optimization Methods |