Hi ZB,

This is most likely an issue with the gradients being too large (or possibly too small) and breaking the network output. I would recommend reducing the learning rate, or clipping the gradients by some degree. That should fix things!

PhD. Interests include Deep (Reinforcement) Learning, Computational Neuroscience, and Phenomenology.

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