Discover spirosdim/MNist_classification Open Source project

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spirosdim

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Classification of the famous dataset of Mnist, applying the Support Vector Machine algorithm and a Radial Basis Function Network. These assignments were for the course Neural Networks from Aristotle University of Thessaloníki. February 2017.

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An assignment in which dimension reduction is applied with PCA, clustering with k-means algorithm and classification with Naive Bayes Classifier. Implemented in MATLAB, using the MNIST dataset.

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Finding the right hyperparameteres for a Deep Neural Network with keras. Classification task with 7 classes. Use cartographic variables to classify forest categories.

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spirosdim/MNist_classification

spirosdim

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