There are several popular DL frameworks. Each of them comes with some pros and cons. Some of them are desktop-based, and some of them are cloud-based platforms, where you can deploy/run your DL applications. However, most of the libraries that are released under an open license help when people are using graphics processors, which can ultimately help in speeding up the learning process. Such frameworks and libraries include TensorFlow, PyTorch, Keras, Deeplearning4j, H2O, and the Microsoft Cognitive Toolkit (CNTK). Even a few years back, other implementations, including Theano, Caffee, and Neon, were used widely. However, these are now obsolete.
Deeplearning4j (DL4J) is one of the first commercial-grade, open source, distributed DL libraries that was built for Java and Scala. This also provides integrated support for Hadoop and Spark...
