Difference between revisions of "History of Computers - Deep Learning"
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| − | Deep learning is the next generation of | + | Deep learning is the next generation of [[History of Computers - Artificial Neural Network|Neural Networks]]. “There are several types of Deep learning,deep neural networks, belief networks and recurrent networks.” <ref>https://www.educba.com/neural-networks-vs-deep-learning/</ref> |
==Overview== | ==Overview== | ||
Revision as of 22:50, 17 September 2018
Deep Learning
Introduction
Deep learning is the next generation of Neural Networks. “There are several types of Deep learning,deep neural networks, belief networks and recurrent networks.” [1]
Overview
[1]
While Neural Networks send data on a linear route through the hidden layer to the output layer, Deep Learning networks use multiple hidden layers to model high-level abstractions.[2] Each layer uses the output from the previous layer as its input. Deep Learning networks. These networks can learn in one of two ways, either supervised – such as image recognition where inputs need to be classified – or unsupervised – where the computer is searching for a pattern. [3]
Significance
Reference
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