Training Deep Neural Networks With Dropout | Two Minute Papers #62
In this episode, we discuss the bane of many machine learning algorithms - overfitting. It is also explained why it is an undesirable way to learn and how to combat it via dropout.
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The paper "Dropout: A Simple Way to Prevent Neural Networks from
Overtting" is available here:
https://www.cs.toronto.edu/~hinton/ab...
Andrej Karpathy's autoencoder is available here:
http://cs.stanford.edu/people/karpath...
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