Soheil Esmaeilzadeh

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I have a grayscale 3D image where I have let's say N samples with dims of H, W, D and C=1, what would be the proper way of normalizing it...

This is the way I did it. ``` def group_norm(x, G=32, eps=1e-5, scope='group_norm') : with tf.variable_scope(scope) : N, D, H, W, C = x.get_shape().as_list() G = min(G, C) x =...