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 ...

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.

Tensors: A tensor is a multidimensional array, and the construct from which the framework itself gets its name. Tensor is the main data object you manipulate and perform operations on in TensorFlow.

In TensorFlow (named for the flow of tensors along the edges) you can assign each node to a computational device, and the nodes execute asynchronously and in parallel once all the tensors on their ...

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.

At their most basic level, tensors are a data roadmap, but one that is multi-dimensional - this ability to define, store and process data in precise multi-dimensional terms make tensors a key part ...

Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, ...

The tutorial that the TensorFlow authors offer for beginners is a slow-paced introduction to a very simple Softmax Regression classifier for the MNIST handwritten-digit data set.