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Overview
The objective of this module is to provide a real-world scenario in which you can practice using Recurrent Neural Networks.
Estimated Reading Time
Plan on around 120 - 240 minutes for this preparation reading, which consists of online reading and videos.
Preparation Reading
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.
Theory
Please go through this content before the reading quiz and class discussion on Friday:
Recurrent Neural Networks
First, read the following article that introduces how Recurrent Neural Networks work. But, ignore the code examples, because the article uses an older version of TensorFlow:
Next, watch this video from MIT, which dives a little deeper into the concepts of how recurrent neural networks work, and how they can be used to solve machine learning problems.
Practical
Please go through this content before class on Monday:
- Read this page about RNNs
- Read this page about Temperature
- Explore this site about embeddings