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
if you need a more information this project please visit
https://sebastianraschka.com/Articles/2015_singlelayer_neurons.html
this implementation is a homework