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Experimental keras implementation of novel neural network structures

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When I use model.save() and model.get_weights(), the saved weight values are not binary. I'm not sure if it's my miss. Really thanks for any reply:)

Hello, 最近在看你GitHub上的XNOR-Net部分,有个不理解的地方,想问一下你。 我运行了你的代码,但是发现inputs经过卷积层后,图片尺寸没有变化。然后总的参数是13,895,848个。不太懂为什么在这里图片经过卷积层,尺寸没有变化.

While running your BNN code It takes 1.5 times more time compare to the Full precision Keras model for same architecture. Is it excepted or I am missing something?

It seems that without use normalised, the network still running and convergence.

Hello, I got this error when running qrnn_imdb.py using keras 2.0.0: TypeError: unsupported operand type(s) for +: 'NoneType' and 'int' Thanks, Yasser

Hi Ke Ding, really appreciate your work. I've been trying to write a BinaryConv1D class to work with text data using your BinaryConv2D as an example, but I always get...

Hi, could you reference the article that described the usage of ternary_tanh as activation function? I did not found any reference in the articles found in code comments. Thank you

If I set use_bias = True in binarynet or xnornet, these vars are not defined: self.output_dim self.bias_initializer self.bias_regularizer self.bias_constraint according the source code in keras layers/convolutional.py, I modify code as...

Hi Ke, thank you very much for writing and publishing your code! I am loving this! I am trying to run the GCNN, but was not successful. I converted it...