by Vinay R. Rao | Published January 8, 2018
This series gives you a quick overview of several deep learning frameworks. With each framework, you'll learn about the framework's benefits, supported platforms, installation considerations, and supported back ends.
This article gives you a quick overview of Keras, a Python-based, deep-learning library. Learn about the framework's benefits, supported platforms,…
Eclipse Deeplearning4j (DL4j) is a framework of deep learning tools and libraries that take advantage of the Java Virtual Machine,…
TensorFlow is just one of the many open source software libraries for machine learning. In this tutorial, get an overview…
Originally developed as a Python wrapper for the LuaJIT-based Torch framework, PyTorch, now a native Python package, redesigns and implements…
March 14, 2019
Before open source was cool, IBM worked to establish open source as technology that's safe (and good!) for the enterprise.
June 1, 2019
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