This repo contains classwork for the subject Deep Learning from the MSc in computer science at the Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM).
This section provides a brief description of each homework. Every homework folder contains jupyter notebooks and a PDF file that contains specific instructions (Specific instructions and comments for each homework are provided in Spanish).
- Homework 1: Basic neural networks concepts programming: Perceptron learning rule, backpropagation algorithm and dense networks using NumPy and Pytorch.