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Batch Normalization in Tensorflow/Keras
Batch normalization (batch norm) is a technique for improving the speed, performance, and stability of artificial neural networks. It is used to normalize the input layer by re-centering and re-scaling. Link to the notebook : https://github.com/bhattbhavesh91/batch-normalization-demo/ If you do have any questions with what we covered in this ...
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