On 5 October 2016 at 21:01, Pascal Lamblin <[email protected]> wrote:
> Just a hunch: is it possible that the "axis=2" parameter of
> BatchNormalization has to be changed between TF an Theano, since they
> may not use the same memory layout for convolutions?

I don't think so, the layout is fixed between backends, and I am sure
it is correct because the number of parameters is what I would expect.
Using axis=1 throws an error in Keras (before ever dispatching the
backend), since its dimension is None.

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