Upvoted because I think you are very correct. I would expand this to include machine learning in general, with a healthy dose on deep learning architectures.

Upvoted because I think you are very correct. I would expand this to include machine learning in general, with a healthy dose on deep learning architectures. Specific tools/tech: * Python and C++ * TensorFlow (and TensorBoard for vis) * Keras (soon to be part of TensorFlow) * Theano (not as popular as the previous two, but look into it) * CUDA/CUDNN Per the last one - if you're going to be playing in this sandbox, get used to using NVidia's tech; AMD for some reason isn't there yet - though they do have some stuff. Maybe it's a lack of marketing or something. If you want to get your toes wet a bit - check out: http://playground.tensorflow.org/ http://playground.tensorflow.org/ Finally - there's been recent research on using deep learning to create and enhance deep learning networks - so for all I know, in the future a developer role in deep learning may not even resemble an actual software development gig...