Deep Learning with Batuhan Yılmaz

Welcome to the digital archive of my hand-written deep learning notes. This website serves as a portfolio and a quick reference guide to various deep learning concepts, algorithms, and architectures.

🚀 Features

• Visual Library: Browse through high-quality scans of hand-written notes.
• Search Functionality: Quickly find specific algorithms or concepts using the real-time search bar.
• Responsive Design: Optimized for viewing on desktops, tablets, and mobile devices.
• Clean Interface: A distraction-free, minimalist design focused on the content.

🛠️ Technologies Used

• HTML5: Semantic structure.
• CSS3: Custom styling with Flexbox and Grid, using CSS variables for consistent theming.
• JavaScript (ES6+): Dynamic content rendering and search logic.
• Google Fonts: Using 'Inter' for a modern, clean typography.
• Font Awesome: For social media icons and UI elements.

📦 How to Use

1. Clone the repository:

   git clone https://github.com/bathn456/DeeplearningwithBatuhanYilmaz.git

2. Open the project: Navigate to the project folder and open index.html in your preferred web browser.

📝 Notes Collection

The collection currently includes notes on:

• Multi-head Self Attention
• Embedding Similarity
• CNN Output Layer & Logic
• Batch Processing
• Kernel Logic
• Optimizers
• ReLU Activation
• Residual Connections

📬 Contact

Feel free to reach out or connect:

• LinkedIn
• GitHub
• Email