- Dumbing down the implementation ... Most tools like tf, keras, pytorch are heading that way .. but still there is a bit of expectation from engineer to unders

- Dumbing down the implementation ... Most tools like tf, keras, pytorch are heading that way .. but still there is a bit of expectation from engineer to understand insides.. the future of AI depends on ability of every engineer to use the techniques without the learning curve that is right now. Please don't suggest - use of APIs they ain't cost effective and the future lies in ability to tweak things on your own. - Also availability of DL libraries across different languages and stacks. Yes there are methods but they need an extra effort to get working. At this moment to learn AI you first need to either learn python, R or matlab. The future of AI lies in its applications. And it can only happen through experimentation. If you come across a possible application, it shouldn't take you an year to really start experimenting.