Dropout Layer In Tensorflow2.0 | Variance / Overfitting Reduction | High Dev/Validation Accuracy

Dropout Layer In Tensorflow2.0 | Variance / Overfitting Reduction | High Dev/Validation Accuracy
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This video explains what is high variance / overfiitting. It also describes why we get high variance / overfitting in the model. In general, it also explains how to deal with high variance in general. In the video, we have explained how to reduced high variance by using dropout in particular. It describes why dropout layer works to reduce high various. We have also given code snippet to learn how to use drop out layer in Tensorflow 2.0.

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#pathshala #DLPathshala #Overfitting #Variance #ReduceOverfitting #DropoutInTensorflow2.0 #Tensorflow2.0Tutorial #TF2TutorialForBeginner #DeepLearning #ML