GitHub / farzeennimran / Fashion-MNIST-Dataset-Classification-using-Neural-Network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
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PURL: pkg:github/farzeennimran/Fashion-MNIST-Dataset-Classification-using-Neural-Network
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Language: Jupyter Notebook
Size: 105 KB
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Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 2 months ago
Topics: artificial-intelligence, data-analysis, data-mining, data-science, dataset, deep-learning, fashion-mnist-dataset, gridsearchcv, hyperparameter-tuning, kfold-cross-validation, machine-learning, multilayer-perceptron-network, neural-network, numpy, pandas, python, sklearn
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