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YStrano
GitHub Repository: YStrano/DataScience_GA
Path: blob/master/april_18/lessons/lesson-19-flex/README.md
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title: Neural Networks duration: "2:00" creator: name: Marc Harper city: LA
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Neural Networks

DS | Lesson 19

LEARNING OBJECTIVES

After this lesson, you will be able to:

  • Understand various types of neural networks

  • Applications of neural networks

  • Apply a neural network model for regression

  • Apply a neural network model for classification

STUDENT PRE-WORK

Before this lesson, you should already be able to:

  • Understand Logistic Regression and link functions

  • Be familiar with training and testing classifiers and regressors

Resources

  • Slides

  • [Demo Notebook](19-Neural Networks.ipynb)

  • [Solutions](19-Neural Networks-Solutions.ipynb)


BEFORE NEXT CLASS

UPCOMING PROJECTSFinal Project, Part 5