steffen/self-replicating-neural-networks
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added two more experiments, now we possibly have all of them

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Thomas Gabor
2019-03-13 03:55:04 +01:00
parent 0bcc25121f
commit 5c7a646d69
8 changed files with 232 additions and 15 deletions
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6
code/network.py
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@ -609,11 +609,11 @@ class TrainingNeuralNetworkDecorator():
def train(self, batchsize=1, store_states=True, epoch=0):
self.compiled()
x, y = self.net.compute_samples()
savestatecallback = SaveStateCallback(net=self.net, epoch=epoch) if store_states else None
history = self.net.model.fit(x=x, y=y, verbose=0, batch_size=batchsize, callbacks=[savestatecallback], initial_epoch=epoch)
savestatecallback = SaveStateCallback(net=self, epoch=epoch) if store_states else None
history = self.net.model.fit(x=x, y=y, verbose=0, batch_size=batchsize, callbacks=[savestatecallback] if store_states else None, initial_epoch=epoch)
return history.history['loss'][-1]
def train_other(self, other_network, batchsize=1):
def learn_from(self, other_network, batchsize=1):
self.compiled()
other_network.compiled()
x, y = other_network.net.compute_samples()