Hi everyone! Was wondering what you guys thought about implementing distributed deep learning using erlang. Basically the deep neural network would be modelled with each neuron acting as a separate process. Since erlang allows millions of processes and also scales across machines, this method could be used to potentially model large neural networks. Thoughts?
2. Are we any closer to understanding biological models of computation? I think the success of deep learning gives a lot of credibility to the idea that we learn multiple layers of distributed representations using stochastic gradient descent. However, I think we are probably a long way from understanding how the brain does this. Evolution must have found an efficient way to adapt features that ar
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