This code is doing a basic gradient descent optimization of a neural network learning from a small dataset. Besides the library and samples, TensorFlow includes a suite of visualization tools ...

TensorFlow core, an open source library for developing and training machine learning models; TensorFlow.js, a JavaScript library for training and deploying models in the browser and on Node.js; ...

In the spirit of open-source code, Google hopes that access and use by researchers, engineers and even hobbyists will result in even better machine learning capabilities in the future.

Typically, you’ll write TensorFlow code in very comprehensible Python (what the exam is in) or JavaScript (tensorflow.js) and it’ll trigger a series of underlying functions written in C which ...

As cumbersome as TensorFlow might be to code, once it’s written is a lot easier to deploy than PyTorch. Tools like TensorFlow Serving and TensorFlow Lite make deployment to cloud, servers ...

Code modifications get hairy beyond single node and for the MPI uninitiated, there is a steep curve to scalable deep learning. Although high performance computing system developments have been key ...

Google itself will manage the project at the new Tensorflow.org website. But it has shared the code under what's called an Apache 2 license, meaning anyone is free to use the code as they please.

Code Search or 'CS' for open-source Google projects for now supports Angular, Bazel, Dart, ExoPlayer, Firebase SDK, Flutter, Go, gVisor, Kythe, Nomulus, Outline, and Tensorflow – which represent ...