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Training input dimensions
I'm trying to create my own dataset. What's the order of the dimensions of the input tensor? Is it (batch_size, channels, height, width), (batch_size, height, width, channels), (batch_size, height * width * channels, 1), or something different? I'm having a lot of trouble creating the hdf5 file. Anyone else have any luck?
format is (batch, channel, height, width) also called bc01
in theano docs.
@Newmu If I follow the example (http://fuel.readthedocs.io/en/latest/h5py_dataset.html) for creating a HDF5 dataset, will that do the trick for training on new data or are there other things I should be aware of?