Autor: Thomas

NEU: Introduction_ClassicalML auf Deutsch 🙂

Neu: Introduction_NeuralNets_auf Deutsch

IntroductionOverview_ClassicalML

Introduction_NeuralNets

Dataset: Kaggle_Titanic_train

 

Some Simple Neural Nets with Gradient Descent Algorithm

Tutorial for „IntroductionOverview_NeuralNets_5Sept22

Variant 1:

Variant 2:

Single Layer Perceptron

https://iludis.de/zeigermodell2/index.html

1. Linear Regression
(ML-Algorithm using Batch Gradient Descent)

https://iludis.de/LinearRegression/index.html

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2. kNN (k-nearest-neighbour)

https://iludis.de/kNNDemo/index.html

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3. SVM (Hard-Margin Support Vector Machine)

https://iludis.de/svmDemo/index.html

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4. NeuralNet-Dinosaur: Perceptron with SGD

https://iludis.de/Perceptron/index.html

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5. k-Means-Clustering

https://iludis.de/kMeansClustering/index.html

6. no-AI, but helper-App:
generate points for export

https://iludis.de/pointgenerator/index.html

https://www.iludis.de/zeigermodell/index.html

PDF-Version des Arbeitsblatts „Zeigermodell“