Deep Learning Frameworks of 2017 Jan

Chainer is a deep learning framework that's designed on the principle of define-by-run. Unlike frameworks that use the define-and-run approach, Chainer lets you modify networks during runtime, allowing you to use arbitrary control flow statements. It is simple, efficient, and can run and learn state-of-the-art CNNs. Deeplearning4J integrates with Hadoop and Spark and runs on several backends that enable use of CPUs and GPUs.