Repository Description

This repository contains the results of mandatory practice works (MPWs) for MSE module Deep Learning (Spring 2026)

Part 1: CNN

• Timeframe: From 18.03.2026 until 15.04.2026
• NBs: ./notebooks/cnn/
• See README for the task: ./notebooks/cnn/README.md

Part 2: CG (Computational Graphs and Optimizers)

• Timeframe: From 20.04.2026 until 18.05.2026
• NBs: ./notebooks/cg/
• See README for the task: ./notebooks/cg/README.md

Part 3: IC (Image Captioning)

• Timeframe: From 18.05.2026 until 03.06.2026
• NBs: ./notebooks/ic/
• See README for the task: ./notebooks/cg/README.md

Project structure

Tasks

See ../Task/ and ../Task/./documents/*

Data

See Task/data/*

Submissions

In a form of Jupyter NBs and/or PDFs. See ./notebooks/* and README inside.

Reusable Python code

Put larger reusable methods and helpers in ./src/*, and keep notebooks focused on experiments and reporting.

Python environment

This project is configured for uv and targets Python 3.12.

Setup

1. Install uv
2. Create the environment and install dependencies: uv sync --dev
3. Run Python commands inside the managed environment: uv run python

Dependency management

• Add a runtime dependency: uv add <package>
• Add a development dependency: uv add --dev <package>
• Update the lockfile after changes: uv lock
• Export requirements.txt only when another tool explicitly needs it