CS 451 class prep 27

1. Prepare for your project proposal presentation

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

Key: * = required
     ? = optional

Course 1: Neural Networks and Deep Learning

WEEK 1
Introduction to deep learning
*   7 Video: What is a neural network?
?   8 Video: Supervised Learning with Neural Networks
*  10 Video: Why is Deep Learning taking off?

WEEK 2
Neural Networks Basics
?   8 Video: Binary Classification
    5 Video: Logistic Regression
    8 Video: Logistic Regression Cost Function
   11 Video: Gradient Descent
    7 Video: Derivatives
   10 Video: More Derivative Examples
*   3 Video: Computation graph
?  14 Video: Derivatives with a Computation Graph
?   6 Video: Logistic Regression Gradient Descent
    8 Video: Gradient Descent on m Examples
    8 Video: Vectorization
    6 Video: More Vectorization Examples
    7 Video: Vectorizing Logistic Regression
    9 Video: Vectorizing Logistic Regression's Gradient Output
*  11 Video: Broadcasting in Python
*   6 Video: A note on python/numpy vectors
    3 Video: Quick tour of Jupyter/iPython Notebooks
    7 Video: Explanation of logistic regression cost function (optional)

Heroes of Deep Learning
?  16 Video: Pieter Abbeel interview


*  37 min
?  52 min