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 ...

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 ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible. Normally, a small point update like ...

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

AI and deep learning are pretty hot technologies right now, what with the accelerating interest in computer vision, image recognition and classification, natural language processing (NLP), and speech ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Google is announcing TensorFlow, its open ­source platform for machine learning, giving anyone a computer and internet connection (and casual background in deep learning algorithms) access to one of ...

It wasn't that long ago that building and training neural networks was strictly for seasoned computer scientists and grad students. That began to change with the release of a number of open-source ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Last November, Google opened up its in-house machine learning software TensorFlow, making the program that ...