Part of Google’s TensorFlow machine intelligence project, the TensorFlow Serving 1.0 library is intended to aid the deployment of algorithms and experiments while maintaining the same server ...

According to Burke, the library is designed to be fast and small while still enabling state-of-the-art techniques. It will be released later this year as part of the open source Tensorflow project.

Another statistic of note, from the TensorFlow r1.0 release in February 2017, is that people were using TensorFlow in more than 6,000 open source repositories online.

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 ...

Google released a TensorFlow.Text, a new text-processing library for their TensorFlow deep-learning platform. The library allows several common text pre-processing activities, such as tokenization, to ...

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 AI today released TensorFlow Constrained Optimization (TFCO), a supervised machine learning library built for training machine learning models on multiple metrics and “optimizing ...

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 a machine learning library that’s used across Google for applying deep learning to a lot of different areas,” says Rajat Mongo, a technical lead on the TensorFlow project, in a YouTube ...

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 ...