Deep Learning for Computer Vision – Learning Series

Welcome! This is a beginner-friendly learning series that introduces the fundamentals of deep learning for computer vision.

🔹 Contents

• 📘 Article 1: Introduction to Deep Learning for Computer Vision

• 📗 Article 2: Neural Networks and their basic components

• 🧪 Hands-On Project: MNIST Digit Classification
  A full Google Colab notebook with code, explanations, and results. the notebook is structured in a manner where you can run the code yourself and follow along!

📎 Access the Materials

• Article 1 (PDF)
• Article 2 (PDF)
• Run the MNIST Notebook on Google Colab
• View Notebook on GitHub

💬 Why This Series?

This project was created to help beginners understand and appreciate deep learning — without overwhelming jargon or complexity. It is intended as a friendly, practical introduction to one of AI's most exciting domains: computer vision.

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