IST-Aprof

This repository collects coursework developed for the Deep Learning course at Instituto Superior Técnico

Content

Homework 1 – Manual Implementation of ML Models

• Linear classifiers and MLPs implemented from scratch.
• Includes perceptron, logistic regression, and MLPs with analytical backpropagation.

DL Homework 2 – PyTorch and Advanced Architectures

• Implementation using PyTorch.
• Includes MLP tuning, CNNs with regularization, and seq2seq phoneme-to-grapheme modeling.

Authors

• João Gonçalves - sqrt(-1)
• Teresa Nogueira - 13A!

License

This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 4.0 International.