June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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DL frameworks and cloud platforms for IoT
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, ...
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