🔥 What You’ll Learn:

✅ Neural Networks from Scratch – Understand how AI models learn and improve.

✅ Backpropagation & Gradient Descent – The math behind AI’s learning process.

✅ Activation Functions – ReLU, Sigmoid, and Softmax explained.

✅ Deep Neural Networks – Learn different architectures for various AI tasks.

✅ Introduction to CNNs 🤖 – Dive deep into Convolutional Neural Networks, their layers, and architecture.

✅ Building Your First CNN Model – Train and implement a real-world image processing model.

✅ Hands-on Image Processing – Play with AI and make it recognize objects in images.

✅ Real-World AI Use Cases – Explore how CNNs power facial recognition, self-driving cars, and medical imaging!

🎯 Why Should You Attend?

Gain in-depth AI-ML knowledge and practical experience.

Work with image datasets and implement AI-powered image processing.

Learn to build and deploy your own object detection model from scratch.

Connect with fellow AI enthusiasts and work on exciting projects! 🚀

📅 Date: Saturday, April 5th

⏰ Time: 11 AM onwards

📍 Venue: Room 401

💡 Whether you’re a beginner or an AI enthusiast, this session will take your skills to the next level! Join us and start building AI that sees! 🔥

See you there! 🚀👨‍💻👩‍💻