January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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CNNs
The most common use case scenarios of CNNs are all to do with image processing, but are not restricted to other types of input, whether it be audio or video. A typical use case is image classification – the network is fed with images so that it can classify the data. For example, it outputs a lion if you give it a lion picture, a tiger when you give it a tiger picture, and so on. The reason why this kind of network is used for image classification is because it uses relatively little preprocessing compared to other algorithms in the same space – the network learns the filters that, in traditional algorithms, were hand-engineered.
Being a multilayered neural network, A CNN consists of an input and an output layer, as well as multiple ...
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