Two Minute Papers - Training Deep Neural Networks With Dropout

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. _____________________ The paper “Dropout: A Simple Way to Prevent Neural Networks from Overtting“ is available here: ~hinton/absps/ Andrej Karpathy’s autoencoder is available here: Recommended for you: Overfitting
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