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 set ...
In this special guest feature, Scott Clark, Co-founder and CEO of SigOpt, discusses why measurement should be the first step of any deep learning strategy. Before SigOpt, Scott led academic research ...
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