Tensorflow overfitting, validation set and improving performance

In this video I’m going to show you how to use a validation set, detect / stop overfitting, and get the best performance out of your data by reducing the learning rate. We are going to achieve this by using early stopping and reduced learning on a plateau.
Code:
colab.research.google.com/dri...
Sources:
github.com/Jaewan-Yun/optimiz...
keras.io/api/callbacks/early_...
keras.io/api/callbacks/reduce...