Using lessons inspired from the seminal PDP book to compare performance between learning algorithms and neural network architectures, as well as data processing techniques.

🧠 A simple feedforward neural network

Deep learning based projects in pytorch

Simple Chatbot built with PyTorch.

Implementing Artificial Neural Networks to detect credit card fraud.

👩‍⚕️Predicting-COVID-19-from-Lung-X-ray, Artificial Intelligence course, University of Tehran

Implementing Fruit Classifier with FeedForward-NN From scratch.

Machine Learning Projects

A vanilla feed forward neural network design to predict a person will churn or not.

Feed forward Neural Network

A p5.js sketch with a supervised feedforward neural network model using ml5.js for training and predicting the input shape's color based on training coordinates.

Algoritmo Backpropagation su rete Feed Forward

Benchmark for testing FeedForward Neural Networks with TensorFlow

Code developed for the tasks associated with Neural and Complex Networks subject at UNED

Fundamental Concepts of Machine Learning applied with PyTorch

Deep learning for Natural Language Processing

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

Practising Rust by creating a feedforward neural net from scratch

Birds taught to play simple game a la Flappy Bird using a Genetic Algorithm utilising feed-forward Neural Network.