Deep Learning (DL) with Pytorch

This repository contains a collection of exercises and practice materials for DL classes.

Curricular Unit

Aprendizagem Profunda, Licenciatura em Ciência de Dados Aplicada, Universidade Católica Portuguesa, 2024-2025.

Syllabus

Module	Topic	Lecture	Exercises
1	Course Introduction	lecture	-
2	NumPy Fundamentals	lecture	exercises
3	The Perceptron	lecture	exercises
4	PyTorch Introduction	lecture	exercises
5	Training Neural Networks	lecture	-
6	Neural Networks with PyTorch	lecture	exercises
7	Model Selection and Hyperparameter Tuning	lecture	-
8	Neural Networks with PyTorch	lecture	exercises
9	Regularization	lecture	-
10	Convolutional Neural Networks	lecture	-
11	Convolutional Neural Networks - Hands-On	lecture	exercises
12	Convolutional Neural Networks - Hands-On	lecture	exercises
13	Intro to Computer Vision and Image Classification	lecture
14	Recurrent Neural Networks	lecture	-
15	Recurrent Neural Networks	lecture	exercises
16	Recurrent Neural Networks - Hands-On	lecture	exercises
17	Recurrent Neural Networks - Hands-On	lecture	exercises
18	Attention Mechanisms	lecture	-
19	Attention Mechanisms - Hands-On	lecture	exercises
20	Attention Mechanisms - Hands-On	lecture	exercises
21	Exam	lecture	-
22	Transformers	lecture	exercises
23	Transformers - Hands-On	lecture	exercises
24	Transformers - Hands-On	lecture	exercises
25	Work on Project	lecture	-
26	Multi-Topic Overview: Multimodal + Transfer + Efficient + Reinforcement Learning	lecture	-
27	Project Presentation	lecture	-

Setup

First, clone the repository from GitHub into your local machine. You can do this by running the following command in your terminal:

git clone https://github.com/LCDA-UCP/dl_with_pytorch.git

Open the repository in your favorite IDE and install the dependencies (if missing):

pip install -r requirements.txt

Note: If you are using a virtual environment, make sure to activate it before running the command above. Using a conda environment is recommended.

You also need to install pytorch. For that follow the instructions on the official website.

You can now commit and push your changes to your forked repository.

Create a branch with your name

To create a branch with your name, run the following command in your terminal:

git checkout -b your_name

This will create a new branch with your name and switch to it.

Pushing changes to your branch

To push your changes to your branch, run the following command in your terminal:

git push origin your_name

This will push your changes to your branch on GitHub.

Updating your branch with the latest changes from the main branch

If you want to update your branch with the latest changes from the main branch, you can do so pulling the changes from it.

For that, run the following command in your terminal:

git pull origin main

This will update your branch with the latest changes from the main branch.

If pull fails:

If you get an error message, make sure to commit your changes before pulling the changes from the main branch.

You may also need to fetch the changes from the main branch and merge them into your branch.

For that, run the following commands in your terminal:

git fetch origin main
git merge origin/main

If you have any conflicts, you will need to resolve them before committing the changes.