2 video tutorials on dropout and batch normalization in deep learning

[AnnaBrown]

Hi there community, Happy New Year!

Here are a couple of deep learning-related tutorials to get you going.

I think you’ll enjoy the explanation of dropout in deep learning by @RobertBlanchard in this tutorial. He tells a story about a “nose neuron” in a training process. “Dropout forces neurons in your model to become more generalists as opposed to specialists,” he explains.

@RobertBlanchard then tells us how to use batch normalization in a deep learning model. Batch normalization is typically used to solve – or at least mitigate – the internal covariate shift problem. Watch to learn more.

(Comments are closed on this message -- but visit YouTube and leave a comment on the video. Subscribe to the SAS Users YouTube channel to get more like it!)

Anna