Python Machine Learning From Scratch: The Ultimate Step By Step Beginner's Guides To Deep Learning, Machine Learning, and Neural Networks by Sebastian Dark

Author:Sebastian Dark [Dark, Sebastian]
Language: eng
Format: azw3
Published: 2018-11-08T16:00:00+00:00

Feedback Networks

Signals in the feedback network will travel in both directions. This introduces a loop within the network. These networks are complicated to build but are extremely powerful. The state of the feedback network will change until the signals reach a point of equilibrium. The network will remain in this state of equilibrium until the input dataset changes. When the engineer feeds a new dataset to the machine, the network will need to identify a new equilibrium point. These networks are interactive and recurrent However, only single-layer networks are called recurrent. We will learn more about recurrent neural networks in this chapter.

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