diff --git a/sources/talk/20170915 Deep learning wars- Facebook-backed PyTorch vs Google-s TensorFlow.md b/sources/talk/20170915 Deep learning wars- Facebook-backed PyTorch vs Google-s TensorFlow.md index 5b0014246c..31dbeb394b 100644 --- a/sources/talk/20170915 Deep learning wars- Facebook-backed PyTorch vs Google-s TensorFlow.md +++ b/sources/talk/20170915 Deep learning wars- Facebook-backed PyTorch vs Google-s TensorFlow.md @@ -1,3 +1,4 @@ +Translating by Wuod3n Deep learning wars: Facebook-backed PyTorch vs Google's TensorFlow ====== The rapid rise of tools and techniques in Artificial Intelligence and Machine learning of late has been astounding. Deep Learning, or "Machine learning on steroids" as some say, is one area where data scientists and machine learning experts are spoilt for choice in terms of the libraries and frameworks available. A lot of these frameworks are Python-based, as Python is a more general-purpose and a relatively easier language to work with. [Theano][1], [Keras][2] [TensorFlow][3] are a few of the popular deep learning libraries built on Python, developed with an aim to make the life of machine learning experts easier.