CS 451 class prep 28

1. Write your FP proposal

2. Watch the following Coursera Deep Learning 1 videos in preparation for the next class.

Key: * = required
     ? = optional

WEEK 3
Shallow neural networks

*   4 Video: Neural Networks Overview
*   5 Video: Neural Network Representation
?   9 Video: Computing a Neural Network's Output
*   9 Video: Vectorizing across multiple examples
?   7 Video: Explanation for Vectorized Implementation
*  10 Video: Activation functions
?   5 Video: Why do you need non-linear activation functions?
*   7 Video: Derivatives of activation functions
*   9 Video: Gradient descent for Neural Networks
?* 15 Video: Backpropagation intuition (optional) [* watch last 3 mins on vectorized backprop]
*   7 Video: Random Initialization

Heroes of Deep Learning
?  14 Video: Ian Goodfellow interview   [recommended!]


*  54 min  [ most of it review]
?  47 min