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Asked by Jayashree Last Modified
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Charlie
The people doing the most Artificial intelligence research are not the run-of-the-mill software engineers; they do not care about memory management, cost references, and multiple inheritances. They just want tools that would allow them to visualize thier data, put together an experiment in just a few lines of code. Python lets them do all this, C++ does not. The underlying libraries doing the bulk of the data processing are actually C or C++. Python is used as a “glue language” which glues together multiple libraries and provides a higher-level API for accessing them.
So that is why AI is driven by Python and not C++
Happy coding
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It is being driven by C++.
Tensorflow is really just C++ with a thin Python wrapper over it. Try using the C++ API and you’ll understand why they created the wrapper. It’s got all the speed of C++ though.
Cafe is entirely C++.
I’ve never used Theano, but from googling it, it seems like it uses NumPy which is C on the backend.
You're correct in thinking that Python is too slow for ML (I assume that’s why you asked this). The libraries just use Python layers to simplify the interface so you don’t need to worry about obscure data types to represent matrices and the like.
Even if Python was fast enough for ML, it just wouldn’t be practical to build the frameworks in that language. I mean think about all the things in which AI applications are going to be deployed on. IoT, self driving cars, security cameras, mobile phones, various purpose built devices, military devices, we’re going to need C++ frameworks for this.
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