At the end of the W3 exercice the quick recap is :
tf.Variableto modify your variables
- Applied TensorFlow decorators and observed how they sped up your code
- Trained a Neural Network on a TensorFlow dataset
- Applied batch normalization for a more robust network
I have understand how to implement the mini-batch algorithm but I didn’t see where the batch normalization is processed throught the exercice ?
Thanks for your help