EME 210
Data Analytics for Energy Systems

Overview

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Overview

Here’s where you will introduce your lesson. What will we learn, how does it connect with what we may have already covered, what can you expect content-wise?

Include the main topics of the lesson here. This can be included in the text or be a bulleted list.

Learning Outcomes

By the end of this lesson, you should be able to:

  • summarize the important components of a neural network

  • construct a neural network in Python

  • optimize a neural network in Python; predict with a neural network

Lesson Roadmap

Lesson Roadmap
Type Assignments Location
To Read

A Gentle Introduction to Neural Networks, Part 1 from Towards Data Science

Build a Neural Network from Scratch, Part 2 from Towards Data Science

Machine Learning for Beginners: An Introduction to Neural Networks from Towards Data Science

Online
To Do

Complete Homework: H12 Neural Networks

Take Quiz 10

Canvas
 

 

Questions?

If you prefer to use email:

If you have any questions, please send a message through Canvas. We will check daily to respond. If your question is one that is relevant to the entire class, we may respond to the entire class rather than individually.

If you prefer to use the discussion forums:

If you have questions, please feel free to post them to the General Questions and Discussion forum in Canvas. While you are there, feel free to post your own responses if you, too, are able to help a classmate.