google-deepmind / google-deepmind/learning-to-learn

Resetting each epoch?

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Description

Using Adam optimizer, not L2L for the CIFAR problem: If I print the cost after each epoch, it doesn't decrease over time running with learning rate .001, num_steps 100 num_epochs 100. However, printing the cost for each num_step, it decreases within the epoch. Why does it seem like the weights are being reset each epoch?

I've also added code to check the training and validation accuracy after each epoch. These are also not decreasing with each epoch.

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