If you actually need a deep learning model, PyTorch and TensorFlow are both good choices ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Other optimizations to TensorFlow components resulted in significant CPU performance gains for various deep learning models. Using the Intel MKL imalloc routine, both TensorFlow and the Intel MKL-DNN ...

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers.

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

While TensorFlow has only been available for a little over a year, it has quickly become the most popular open source machine learning project on GitHub.

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was ...

Developers have combined the two open-source technologies -- Kaldi and TensorFlow -- with hopes of advancing automatic speech recognition.