GitHub / 12danielLL / Neural_Networks_Project

The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/12danielLL%2FNeural_Networks_Project

Topics: 2d-and-3d-visualizations, autoencoders, classifier-evaluation, cortical-neurons, data-compression, gradient-descent, high-dimensional-neural-datasets, logistic-regression, mlp, mlp-networks, neural-classification, neuron, neuronal-network, pca-analysis, perceptron, roc-auc, stochastic-gradient-descent, supervised-learning, unsupervised-learning

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• Readme
• Dependencies