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Only in native python & numpy with Keras interface
Hello,
Thank you very much for providing the code for CNN implementation in numpy. I am trying to understand it step by step for which I have a small query.
Could you kindly help me with understanding that how are you backpropogating the error and updating the weights of the network in the main.py file? (especially backprop in the conv layer)
Thanks
Traceback (most recent call last):
File "main.py", line 17, in
le.classes_ = unpickle(sys.path[0] + '/batches.meta')['label_names']
File "main.py", line 12, in unpickle
dict = pkl.load(fo, encoding='latin1')
TypeError: load() got an unexpected keyword argument 'encoding'
Xavier init(6.0 / (fade_in + fade_out)) is needed but can not find the exact formula.
Only got he_normal(2.0/ fade_in).
classes/conv_layer.py: 87
Why to rotate by 90 degrees?
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