Deep Learning Foundations

My personal deep learning journey — documenting what I learn.

Overview

This repository contains my deep learning notebooks as I work through a structured learning path. Each notebook builds on the previous one, progressing from fundamentals to more advanced concepts.

Notebook	Topic	Status
01_mnist.ipynb	MNIST digit classification with a simple neural network	Completed
02_custom_datasets.ipynb	ASL image classification with model comparisons	Completed
03_cnn.ipynb	Understand why CNNs are superior to MLPs for image data	In Progress
04_data_augmentation.ipynb	TBC	Planned
05_transfer_learning.ipynb	TBC	Planned
06_sequence_models.ipynb	TBC	Planned

Getting Started

1. Clone the repository:

git clone https://github.com/Emilyyy-Ng/deep-learning-foundations.git
cd deep-learning-foundations

2. Create a virtual environment

python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Launch Jupyter / VSCode / any other IDEs of your choice

jupyter notebook 
# or
code .