Regarding batch normalization

Hi Nithin,

With regard to your first question have a look here: [Week 2] what is the meaning of (axis = 3) in the BatchNormalization? - #6 by reinoudbosch

The 64 non trainable parameters are the mean and variance vectors of the batchnorm layer. With 32 features (axis=3 of the conv2d layer output) you get 32*2 non trainable parameters. You can also have a look here: Keras - number of parameters in BatchNorm Layer