Welcome to my journey through the WorldQuant University's Applied AI Lab! This repository documents my progress and showcases the exciting projects I'll be tackling in the realm of Deep Learning for Computer Vision.
This lab is an incredible opportunity to delve into the fascinating world of computer vision, a field where we teach machines to "see" and interpret images just like we do. 🧠
Offered by WorldQuant University, a leader in global education, the Applied AI Lab is designed to be completely online and 100% free of cost. This makes cutting-edge AI education accessible to anyone with a passion for learning.
The program focuses on real-world applications, providing a practical and impactful learning experience. Through six hands-on projects, we'll be exploring various aspects of computer vision, including:
- Image Classification: Teaching computers to recognize different objects in images, just like identifying a cat from a dog in a picture. 🐶🐱
- Object Detection: Locating and identifying multiple objects within an image. Imagine a self-driving car that can detect pedestrians, traffic lights, and other vehicles in real-time! 🚗🚦
- Generative AI: Using AI to generate new images. This is the technology behind those impressive deepfakes and AI-generated art you've probably seen online. 🎨
Here's a glimpse of the exciting projects I'll be working on:
- Wildlife Image Classification 🦁🌏: This project focuses on classifying wildlife images from camera traps, contributing to wildlife conservation efforts!
- Crop Disease Monitoring 🌿: We'll build models to detect crop diseases, helping farmers protect their crops and improve food security.
- Traffic Flow Analysis 🚗: This project involves analyzing traffic patterns to optimize traffic flow and reduce congestion in urban areas.
- Face Detection & Recognition 😊: We'll explore facial recognition technology, understanding its applications and implications.
- Medical Image Generation 🏥: Using AI to generate medical images, which can be valuable for research and diagnostics.
- Meme Generator App 😂: Developing a fun meme generator app using stable diffusion models, demonstrating the creative potential of AI.
Throughout this lab, I'll be developing a comprehensive skillset in computer vision, including:
- Understanding Neural Networks: The foundation of deep learning, these powerful algorithms are inspired by the human brain.
- Working with PyTorch & Transformers: Utilizing industry-standard tools for building and training deep learning models.
- Preparing Data for Machine Learning: Learning how to clean and transform data to make it suitable for training AI models.
- Building and Training Models: Developing, training, and evaluating various computer vision models for different tasks.
- Model Deployment: Taking trained models and making them accessible for real-world applications.
I'm excited to share my learning journey and collaborate with fellow AI enthusiasts! Feel free to connect with me if you're interested in AI, computer vision, or any of the projects I'm working on. 🤝