Lec 6.1: Dealing with overfitting and speeding up training in Deep Neural Networks
In this video, we tackle these 6 points.
A way to split and understand the results of your train/dev/test
Deal with overfitting #1 – L2 Regularization
Deal with overfitting #2 – Dropout
Speed up training #1 – Normalizing input
Speed up training #2 – Weight initialization with Xavier
Gradient Checking to check your backpropagation
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