This is a repository hosting all code and models detailed in the article Computational limits to the legibility of the human brain.
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Updated
Apr 2, 2024 - HTML
This is a repository hosting all code and models detailed in the article Computational limits to the legibility of the human brain.
Undergrad Major Project
Multi-class Classification of physiological features into 4 classes.
Proyecto individual sobre los fundamentos matemáticos de las redes neuronales. Desarrollado durante los cursos propedéuticos de admisión a la Maestría en Ciencias de Datos de la Universidad de Sonora.
Leveraging the mapreduce paradigm we propose a solution to parallelize the feedforward operation of neural networks in order to speed it up for sufficiently large NN architectures and for sufficiently large datasets. Tested Using the MNIST dataset results can be found in the results.html and results.ipynb files.
Udacity Deep-Learning-Foundations-Nanodegree Projects
🥼Clothes Classification, Artificial Intelligence course, University of Tehran
👩⚕️Predicting-COVID-19-from-Lung-X-ray, Artificial Intelligence course, University of Tehran
Activation function, feed forward network, Training a Neural Network, Error and Loss Function, Optimization, Backpropagation, Early stopping, Model Saving
CIS 731 ANN Assignments
Predicting Hourly Traffic Volume using Artificial Neural Networks
Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..
filling in missing values in climate data
Multi-Layer Perceptron Feedforward neural network. Backpropagation and Genetic learning algorithm. Plus WinForms UI.
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