Embracing Swift for Deep Learning

In the last three years, we’ve switched between many different deep learning libraries in our courses: Theano, TensorFlow, Keras, PyTorch, and of course our own fastai library. To be a deep learning practitioner and use a language other than Python means giving up a vast ecosystem of interconnected libraries, or else using Python’s libraries through clunky inter-language communication mechanisms. To work around the performance problems of using “pure Python” code, we instead have to use libraries written in other languages (generally C and C++), like numpy, PyTorch, and TensorFlow, which provide Python wrappers.

Source: www.fast.ai