Tutorial 9- Drop Out Layers in Multi Neural Network

After going through this video, you will know:

Large weights in a neural network are a sign of a more complex network that has overfit the training data.
Probabilistically dropping out nodes in the network is a simple and effective regularization method.
A large network with more training and the use of a weight constraint are suggested when using dropout.

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