Project Neural Network #3
Difficulty: medium
Time: 2-3h
Languages: The one you picked
=======================
Use the perceptrons of the last Challenge and arrange them into layers.
The first layer is the input layer, the next layers are hidden layers and the last one is the output layer.
Every Perceptron gets as input the SUM of all the outputs of the last layer, each multiplied by some value (called "weights"). In later challenges, we will learn how to improve those weights in order to make out Neural Network be a more and more accurate mathematical model.
#input #output #NeuralNetwork #MachineLearning #Arrays #Structure
Solutions to @Linuxer4Fun
Documentation: https://en.wikipedia.org/wiki/Artificial_neural_network
Difficulty: medium
Time: 2-3h
Languages: The one you picked
=======================
Use the perceptrons of the last Challenge and arrange them into layers.
The first layer is the input layer, the next layers are hidden layers and the last one is the output layer.
Every Perceptron gets as input the SUM of all the outputs of the last layer, each multiplied by some value (called "weights"). In later challenges, we will learn how to improve those weights in order to make out Neural Network be a more and more accurate mathematical model.
#input #output #NeuralNetwork #MachineLearning #Arrays #Structure
Solutions to @Linuxer4Fun
Documentation: https://en.wikipedia.org/wiki/Artificial_neural_network