PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

Unlike TensorFlow, PyTorch hasn’t experienced any major ruptures in the core code since the deprecation of the Variable API in version 0.4. (Previously, Variable was required to use autograd ...

As cumbersome as TensorFlow might be to code, once it’s written is a lot easier to deploy than PyTorch. Tools like TensorFlow Serving and TensorFlow Lite make deployment to cloud, servers ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world ...

PyTorch vs TensorFlow. While TensorFlow is the workhorse of Google’s ML efforts, it’s not the only open-source ML training library. In recent years the open-source PyTorch framework, ...