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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?
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We build transformative solutions for the world’s most ambitious companies. By providing user-focused consultancy, high tech capabilities and connection to diverse communities. We’re the world-leading experts at building massively scalable distributed systems. We have over 20 years of experience building critical digital infrastructure that scales to billions of users without error. We create a re
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