It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...
Overview: PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...
Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today announced TensorFlow ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google AI today released TensorFlow Constrained Optimization (TFCO), a ...
The first major release of Google's machine learning library includes improvements to allow efficient deep learning on mobile devices TensorFlow, Google’s open source deep learning framework, has ...
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 ...
TensorFlow is Google’s software library aimed at helping developers build machine-learning models. This short glossary will help you get up to speed on its terms and concepts. From the glossary: As ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback