Google has just moved to a production release of TensorFlow Serving, its open source library for serving machine-learned models in production environments. A beta version of the technology was ...

Moreover, developers using standard TensorFlow mechanisms shouldn’t have to change their model architectures, training procedures, or processes. It follows hot on the heels of TensorFlow 2.0 ...

Hugging Face's Transformers library with AI that exceeds human performance -- like Google's XLNet and Facebook's RoBERTa -- can now be used with TensorFlow.

Google last week open sourced TensorFlow, a new machine learning library used in deep learning projects. Even though the Web giant has just started using the software in its products, it apparently ...

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 ...

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

The TensorFlow machine learning framework that Google Inc. released under an Apache open-source license in late 2015 just gained an important endorsement: IBM Corp. said today that it will support ...

Verifying the Installation After installation, verify TensorFlow by running a simple program that imports the TensorFlow library and prints a version statement. Basic Concepts in TensorFlow At ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

Google today launched TensorFlow Quantum (TFQ), an open-source library for prototyping quantum machine learning models. Quantum computers aren’t quite mainstream yet, but when they arrive they ...