In TensorFlow, those lists are called tensors. And the matrix multiplication step is called an operation, or op in programmer-speak, a term you’ll have to get used to if you plan on reading the ...

Tensors: Multi-dimensional arrays or complex arrays used in machine learning algorithms. Interactivity: TensorFlow provides an iterative platform for immediate engagement with machine learning.

TensorFlow takes its name from the way tensors (of synapse weights) flow around its network model. NumPy also uses tensors, but calls them ndarray.

TensorFlow: A guide for IT pros (free PDF) TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs.

The heart of this offering is Google’s machine learning software TensorFlow. For building AI tools, it’s like the difference between a command line interface and a modern desktop OS; giving ...

Here's your chance to use TensorFlow with JavaScript. Train a neural network to predict the rise and fall of Bitcoin prices.

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.

Google this week unveiled a new version of its TensorFlow toolkit for AI that will make circuits to run on quantum computing hardware. But there are some caveats for deep learning scientists ...

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.

Google is open-sourcing TensorFlow, the “secret sauce” behind features like intelligent image recognition in Google Photos or the Smart Reply feature that arrived to Inbox last week.