This article does a good job explaining how PyTorch gained an advantage over TensorFlow. The 1.0 release of TensorFlow with graphs and feed_dicts was a little c

This article does a good job explaining how PyTorch gained an advantage over TensorFlow. The 1.0 release of TensorFlow with graphs and feed_dicts was a little clunky but made sense. After 1.0 the second-system effect took hold quickly. Eager mode, Keras, TFX ... it all started to look like a mess.