Web Reference: Currently this project is used by my undergraduate students to implement a simple Multilayer Perceptron to classify shapes (using the HuMoments extracted for each image). An example of how Scikit-learn Python library is used to make an image recognizer is based on their humoments. For a comparison between Adam optimizer and SGD, see Compare Stochastic learning strategies for MLPClassifier. Note: The default solver ‘adam’ works pretty well on relatively large datasets (with thousands of training samples or more) in terms of both training time and validation score.
YouTube Excerpt: An example of how Scikit-learn Python library is used to make an image

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Famous #94: Scikit-learn 91:Supervised Learning 69: Multilayer Perceptron Profile
#94: Scikit-learn 91:Supervised Learning 69: Multilayer Perceptron
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Coding Challenge 158: Shape Classifier Neural Network with ml5.js
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SHAP values for beginners | What they mean and their applications
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How to use MLP Classifier and Regressor in Python
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Vehicle Detection using MLP Classifier.
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The scikit-shapes library - Louis Pujol - Shape seminar
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Interpretable vs Explainable Machine Learning
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But what is a convolution?
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MLP Classifier and Regressor

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