TensorFlow* is a leading deep learning and machine learning framework, and as of May 2017, it now integrates optimizations for Intel® Xeon® processors and Intel® Xeon Phi™ processors. This is ...

Overall, TensorFlow installation has improved noticeably. As before, there are multiple ways of installing TensorFlow including Python virtual environments, “native” pip, Docker, and building ...

It’s a different—and worse—way of classifying digits than the convolutional model that we ran earlier to validate your TensorFlow installation. It’s a bit easier to understand, however.

Advanced TensorFlow Features TensorFlow can leverage GPU acceleration for faster processing. Setting this up on Ubuntu involves installing CUDA and cuDNN libraries. TFX is a platform for deploying ...

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.

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 has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers.