Finally, it has a JIT (Just-In-Time) component that takes your code and optimizes it for the XLA compiler, resulting in significant performance improvements over TensorFlow and PyTorch.

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

Both PyTorch and TensorFlow support deep learning and transfer learning. Transfer learning, which is sometimes called custom machine learning, starts with a pre-trained neural network model and ...

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.

Understand the Intersection over Union metric and learn how to implement it for evaluating object detection models using PyTorch.