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.

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.

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 ...

Typically, you’ll write TensorFlow code in very comprehensible Python (what the exam is in) or JavaScript (tensorflow.js) and it’ll trigger a series of underlying functions written in C which ...

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, ...