/PerceptronAlgorithm

implement the single layer neural networks on Perceptrons and Sigmoid Neurons

Primary LanguagePython

Perceptron Algorithm

implement the single layer neural networks on Perceptrons and Sigmoid Neurons

using : cifat10 dataset , sigmoid activation , gradient descet method , perceptron algorithms, keras

The Perceptron is inspired by the information processing of a single neural cell called a neuron. A neuron accepts input signals via its dendrites, which pass the electrical signal down to the cell body. we use gradient descent and sigmoid activate function on this implementation

https://wikipedia.org/wiki/Stochastic_gradient_descent

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if you need a more information this project please visit

https://sebastianraschka.com/Articles/2015_singlelayer_neurons.html

this implementation is a homework