Project Neural Network #2
Difficulty: medium
Time: 1-2h
Languages: The one you picked
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Program a single perceptron that can take a quantity of inputs (n) and has a single output.
Use the sigmoid function you programmed earlier to squash the outputs/inputs.

#input #output #NeuralNetwork #MachineLearning #MathematicalModels #LinearFunctions

Solutions to @Linuxer4Fun
Documentation: https://en.wikipedia.org/wiki/Perceptron


https://t.me/prograchallenges

Project Neural Network #3
Difficulty: medium
Time: 2-3h
Languages: The one you picked
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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

Linear Regression
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Time: 2h
Difficulty: Medium
Language: any
Credits: Ddruv
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Program a program that lets the user create points on a canvas. Then, draw one single straight line that aproximates them as well as possible.

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#math #input #output #canvas
#MachineLearning

#1

Solutions to @Linuxer4Fun

Feed It The Text
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Time: 1h
Difficulty: medium
Language: any
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Make a function that transforms an ASCII character into a vector of booleans.

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#machineLearning #learning #thinkOutsideTheBox

Solutions to @maxi_robot