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Train neural network to classify data sets using python

1. Use a three layer neural network to classify the two sets of 3-D data set. You should generate 100 samples for each data set based on the following criteria:

Data set 1: generate real numbers with X ranges from 2 to 3; Y ranges from 2 to 3; and Z ranges from 0 to 1.

Data set 2: generate real numbers with X ranges from 0.5 to 1.5; Y ranges from 0.5 to 1.5; and Z ranges from 0 to 1.

Note, instead of backpropagation algorithm, use Simulated Annealing Algorithm.

2. Repeat problem 1 by using Genetic Algorithm

Compétences : Algorithme, Apprentissage Automatique, Python

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( 0 commentaires ) Dayton, United States

Nº du projet : #19009210

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