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 ...

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

Google open-sourced TFRT, a faster and more efficient runtime that'll eventually replace the default runtime in the company's TensorFlow framework.

TensorFlow is also not ideal for lightweight machine learning applications where simpler frameworks like Scikit-learn may be more efficient.

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

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

Learn More Maker of the popular PyTorch-Transformer s model library, Hugging Face today said it’s bringing its NLP library to the TensorFlow machine learning framework.

TensorFlow Lite for Microcontrollers is designed to run on memory-constrained designs with only kilobytes of memory and executing machine learning models for applications, such as wake-word ...

TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet are the seven most popular frameworks for developing AI applications.