TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Learn more Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning.

TensorFlow is the only framework available for running machine learning models from the cloud to the tiniest microcontroller device. Models trained with TensorFlow can be optimized for CPU and GPU.

TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning.

By contrast, TensorFlow supports researchers developing algorithms, as well as product teams training models and deploying them for customers at scale, all with the same code. Autodifferentiation.

TensorFlow is an open source machine learning framework developed by Google, designed to build and train AI models for a wide range of applications.

Google's TensorFlow Similarity library is designed to help developers build 'similarity models,' according to Google.

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond ...

The newly announced TensorFlow Hub is a library designed for publishing, discovering, and consuming reusable parts of machine learning models.

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is ...