Overview
Prerequisites
File to download
Update Model
Training Iteration
Challenge Problem
Challenge answer
Learning Rate
Learning Rate pattern
Retrain and Evaluate Model
Cross Validation
Tuning Hidden Layer
Challenge Problem
Recap
Compare with Linear Regression
Start Introspection
Understand Inputs
Better way
Output Neurons
Number of Iterations
Update Iteration
Final weights
Interpret the array
Challenge Problem
Challenge answer
Loss curve
Plot Data
When training stops
Best Loss
Summary
Congratulations on completing this course!
