An Insider Report on the Future of Deep Learning

In short, deep learning is not simple as it sounds. Even for many data scientist’s the concept’s behind the deep learning is a bit complicated and is not an easy task. Average developers too faces many challenge’s in this field.

Deep learning in the near future will have it’s own core set of standard tools. Many of them are open sources. Some the popular one’s include OpenDeep, Caffe, Theano, Torch, and MXNet.

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Deep learning will find a stable niche within the existing analytics atmosphere. In brief, spark is becoming an essential platform for scaling and accelerating deep learning coding’s and algo’s.

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