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Dropout In Neural Networks — Prevent Overfitting Like A Pro (With Python)
This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset ...
If that is true, the methods of modern investing will be upended.
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