better layer configuration output #28
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| @@ -64,7 +66,7 @@ def generate_default_model(self, num_labels): | |||
| nout=250, | |||
| init=init_norm, | |||
| bias=bias_init, | |||
| activation=Rectlin())) | |||
| activation=Tanh())) | |||
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Yes—insofar as I wanted to test that we can load it and use it in iOS. It happens to perform slightly better for the core dataset, too.
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by-dam
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Nov 12, 2015
better layer configuration output
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This PR allows the model to write out not just the number of units, but also the activation functions. So, the output in
x_layers.txtis nowThe matching muvr-ios PR muvr/muvr-ios#92 implements the load counterpart.