Given that JAX works at the NumPy level, JAX code is written at a much lower level than TensorFlow/Keras, and, yes, even PyTorch. Happily, there’s a small but growing ecosystem of surrounding ...

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.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

This PyTorch vs TensorFlow guide will provide more insight into both but each offers a powerful platform for designing and deploying machine learning models.

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.

Google: We're opening Code Search for Go, Angular, Dart, Flutter, TensorFlow and more Developers can now search through some of Google's major open-source projects.