Project Neural Network #2
Difficulty: medium
Time: 1-2h
Languages: The one you picked
===========================
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
Difficulty: medium
Time: 1-2h
Languages: The one you picked
===========================
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 #4
Difficulty: hard
Time: 7h
Languages: the one you picked
========================
With this basic Neural Network structure, improve the weights of each single perceptron. For this, use backpropagation. Intuitively it means: "how much does the error value change, when I change this weight?".
#input #output #NeuralNetwork #MathematicalModels #Maths #Arrays #algorythm #backpropagation
Solutions to @Linuxer4Fun
Documentation: https://de.wikipedia.org/wiki/Backpropagation
++++++++++++++++++++++++++
This marks the end of the first project. Did you like it? Do you want more? Do you have suggestions? Discuss those in the challenge-solvers group: https://t.me/joinchat/EXSmZwy0PqOMNWPKxI3shw
Do you want to share the programming fun with your friends? Then, give them this link: https://t.me/prograchallenges
Difficulty: hard
Time: 7h
Languages: the one you picked
========================
With this basic Neural Network structure, improve the weights of each single perceptron. For this, use backpropagation. Intuitively it means: "how much does the error value change, when I change this weight?".
#input #output #NeuralNetwork #MathematicalModels #Maths #Arrays #algorythm #backpropagation
Solutions to @Linuxer4Fun
Documentation: https://de.wikipedia.org/wiki/Backpropagation
++++++++++++++++++++++++++
This marks the end of the first project. Did you like it? Do you want more? Do you have suggestions? Discuss those in the challenge-solvers group: https://t.me/joinchat/EXSmZwy0PqOMNWPKxI3shw
Do you want to share the programming fun with your friends? Then, give them this link: https://t.me/prograchallenges