Photo by Akshay Nanavati on Unsplash
Overview
The objective of this module is to provide a real-world scenario in which you can practice using Neural Networks.
Estimated Reading Time
Plan on around 120 - 240 minutes for this preparation reading, which consists of online reading and videos.
Theory vs Practice
There is a lot of content to read this week. For the sake of the preparation quiz and Friday's discussion, you should go through everything in the Theory section below.
The items in the Practical section are things you'll want to go through before you start in on the actual case study work on Monday.
Preparation Reading
Lots of Vocabulary
You will likely come across a lot of new vocabulary as you study neural networks.
This resource from Google provides a nice reference.
Reading Part 1 - Theory
This video from MIT does a great job of introducing all of the high level concepts of how neural networks work, and how they can be used to solve machine learning problems.
The following three videos give another perspective about neural networks and go into a bit more detail on gradient descent and back propagation:
Reading Part 2 - Practical
- Read this article on Activation Functions
- Read this article on Hyperparameters
- Read this collection of tutorials on the Keras library
Going Further
There is a lot of information on neural networks. It's an extremely popular area of research right now. Here are some good resources if you want to going further: