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.

TensorFlow Lite architecture Google has just released a new solution, the developer preview of TensofFlow Lite for iOS and Android and announced plans to support Raspberry Pi 3.

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...

Google today is unveiling its second-generation Tensor Processor Unit, a cloud computing hardware and software system that underpins some of the company’s most ambitious and far-reaching ...

Google today unveiled TensorFlow Quantum for training hybrid quantum-classical algorithms by combining TensorFlow with open source quantum library Cirq.

TensorFlow is getting its own official WeChat account, Google announced at a developers’ conference today in Shanghai, our sister paper reported. TensorFlow is an open source library for dataflow ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Google open-sources caption tool in TensorFlow that can tell you Google's Show and Tell open-sourced imaging caption system doesn't just repeat pre-learned descriptions of images.

Google's TensorFlow Privacy is an open source library intended to make it easier for developers to train AI models with privacy guarantees.

Google's Tensor chip is being advertised due to its Machine Learning capabilities. However, a benchmark reveals it is behind the Apple A15.