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Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.

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May I ask why aren't you normalizing the cross_entropy loss across the batch before calculating the gradients in the following line: `cross_entropy = -tf.reduce_sum( y_tgt*tf.log(y+1e-04) + (1.-y_tgt)*tf.log(1.-y+1e-04) )` If I...