Welcome to my portfolio! This project is a curated collection of my labs, exercises, and projects from my deep learning course. It's built using Jupyter Book and hosted on GitHub Pages.
You can view the fully rendered, interactive portfolio here: https://ladyjo02.github.io/deep-learning-portfolio/
This portfolio serves as a demonstration of my journey and understanding of key deep learning concepts, including:
- Neural Network Fundamentals: Building models from scratch, implementing forward and backward passes.
- Deep Learning with PyTorch: Using Tensors, building models with
nn.Module, and training with standard optimizers and loss functions. - Model Training & Evaluation: Implementing training loops and visualizing model performance.
- Data Manipulation: Using NumPy and PyTorch for essential tensor operations.
- Jupyter Book: For creating a beautiful, publication-quality online book from computational material.
- GitHub Pages: For hosting the live website via GitHub Actions.
- Python, PyTorch, and NumPy: The core technologies used in the notebooks.