Batch Normalization

#artificialintelligence 

One of the most common problems of data science professionals is to avoid over-fitting. Have you come across a situation when your model is performing very well on the training data but is unable to predict the test data accurately. The reason is your model is overfitting. The solution to such a problem is regularization. Note: If you are more interested in learning concepts in an Audio-Visual format, We have this entire article explained in the video below.

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