Unable to load binarynet model after saving about nn_playground HOT 6 CLOSED

I didn't know keras has change the API of constraint.
change those lines to the following may be fix the issue.

def get_config(self):
        return { "min_value": self.min_value,
                "max_value": self.max_value}

from nn_playground.

The repo is updated w.r.t the newest keras.
This line will correctly load saved model.

from nn_playground.

The code here is mostly for demo.
For serious experiments, I got the numbers by strictly following the paper (try my best) :

from nn_playground.

Thanks. That worked! :)

from nn_playground.

One more thing. Did you compare the accuracy of your network with the one described in the paper? The paper says they were able to reach a test error of 0.96%.
I trained your network with 3 layers, 1000 epochs and 4096 units and the following result

epoch | acc | loss | val_acc | val_loss
999 | 0.987000008523 | 0.0106547690936 | 0.969300017953 | 0.200085629746

Why do you think the error rate is higher? Also it took 20 hours for 1000 epochs on a Tesla K80 GPU.

from nn_playground.

How are you calculating the test error percentage?

from nn_playground.