Tensorflow overfitting, validation set and improving performance
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 Published On Jul 11, 2022

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:
https://colab.research.google.com/dri...

Sources:
https://github.com/Jaewan-Yun/optimiz...
https://keras.io/api/callbacks/early_...
https://keras.io/api/callbacks/reduce...

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