Hi Branko,

Generally, Keras is a great tool for simplifying the code needed to define networks. I would just caution that sometimes the devil is in the details as far as a specific implementation is concerned. Sometimes specific details such as the activation function, or the way gradients are moved around are essential to an implementation. I don’t use Keras much myself, but my understanding is that it is flexible enough to handle most of these use-cases however.

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

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