Drop Out for Keras to Decrease Overfitting (5.4)

Dropout is a regularization that is very popular for deeplearning and keras. This technique removes a certain percentage of the neurons during each training step.

Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_05_4_dropout.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

Follow Me/Subscribe:
https://www.youtube.com/user/HeatonResearch
https://github.com/jeffheaton

Support Me on Patreon: https://www.patreon.com/jeffheaton

Source of this machine learning/AI Video

AI video(s) you might be interested in …