July 2017
Beginner to intermediate
715 pages
17h 3m
English
Cascading Neural Networks (CNNs) is a specialized supervised learning algorithm. In this type, the network is initially very small and simplistic. As the network learns, it gradually adds new hidden units. Once the node is added, its input weight is constant and cannot be changed or removed.
This type of neural network is praised for its quick learning rate and ability to dynamically build itself. The user of such a network does not have to worry about topological design. Additionally, these networks do not require backpropagation of error information to make adjustments.
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