sklearn.neural network Module: Difference between revisions

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An [[sklearn.neural network Module]] is a [[neural network platform]] that is an [[sklearn module]] (which contains a collection of [[neural network algorithm implementation]]s).
An [[sklearn.neural network Module]] is a [[neural network framework]] that is an [[sklearn module]] (which contains a collection of [[neural network algorithm implementation]]s).
* <B>Context:</B>
* <B>Context:</B>
** It can (often) reference a [[sklearn.neural network Module|sklearn.neural network]] system, such as by: <code>[[sklearn.neural network Module|sklearn.neural network]].<span style="font-weight:italic; color:green">Model_Name(self, arguments)</i></code>  or simply <code>[[sklearn.neural network Module|sklearn.neural network]].<span style="font-weight:italic; color:green">Model_Name()</i></code>  (where <code>Model_Name</code> is a [[neural network algorithm]]).
** It can (often) reference a [[sklearn.neural network Module|sklearn.neural network]] system, such as by: <code>[[sklearn.neural network Module|sklearn.neural network]].<span style="font-weight:italic; color:green">Model_Name(self, arguments)</i></code>  or simply <code>[[sklearn.neural network Module|sklearn.neural network]].<span style="font-weight:italic; color:green">Model_Name()</i></code>  (where <code>Model_Name</code> is a [[neural network algorithm]]).

Revision as of 21:18, 6 July 2023

An sklearn.neural network Module is a neural network framework that is an sklearn module (which contains a collection of neural network algorithm implementations).



References

2017a

2017b

The disadvantages of Multi-layer Perceptron (MLP) include:

2017c