MIT 6.S191 (2025) Deep Learning Practice Files

This repository contains Python practice files for the MIT 6.S191 Introduction to Deep Learning course (2025 edition). The files cover fundamental deep learning concepts using both TensorFlow/Keras and PyTorch frameworks.

Course Information

• Course Website: https://introtodeeplearning.com/
• Year: 2025 Edition
• Focus: Practical implementation of deep learning concepts

Requirements

Before running the files, create a Python environment with the following packages:

pip install tensorflow keras torch

Key Dependencies

• TensorFlow (for Keras backend)
• PyTorch
• Keras

Usage

1. Clone the repository:

git clone https://github.com/yourusername/mit6s191-2025-practice.git
cd mit6s191-2025-practice

2. Create and activate a virtual environment:

python -m venv dl-env
source dl-env/bin/activate  # On Windows use: dl-env\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Run individual practice files:

python 1-intro/activation-functions.py

Framework Usage

• TensorFlow/Keras files are prefixed with tf-
• PyTorch files are prefixed with ptorch- or pytorch-

License

This project is licensed under the MIT License - see the LICENSE file for details.