I recently started finding out deep learning & machine learning techniques, and I started sorting out frameworks that simplify the method of building a net & training it, then I found TensorFlow, having very little expertise within the field, for me, it looks that speed may be a huge issue for creating a big machine learning system even a lot of if operating with deep learning, thus why python was chosen by Google to form TensorFlow? Won’t it be efficient to use a language which can be compiled and not interpreted?
Lastly, mention some advantages Python has over C++ in machine learning.