CNN Presentation diving deep into the deep learning

providing insights of the neural networks with cnn

1. Understanding CNNs 🤖🔍 A fun and simple guide to Convolutional Neural Networks

2. What is a CNN? CNNs are smart computer programs that help recognize images, like faces, animals, and objects!

3. Can You Guess the Flower? 🌹🌻🌼 Look at these images and guess which one is a rose! (Interactive poll)

4. How Do We Recognize Flowers? 🌸 We look at colors, shapes, and patterns. Computers use numbers and patterns!

5. What Do Computers See? 👀 They see edges, textures, and colors using tiny patterns called pixels.

6. Convolution – The First Step! CNNs use filters to detect important parts of an image, like petal shapes in a flower.

7. Pooling – Simplifying the Image 📉 Pooling keeps important details while removing unnecessary info.

8. Prediction Time! 🤔 After understanding features, CNN decides what the image is!

9. How CNN Recognizes a Rose 🌹 Step by step, CNN checks features and predicts whether it's a rose or not.

10. Where is CNN Used? 🌎 Face recognition, self-driving cars, detecting diseases, and more!

11. Quick Quiz! 🎉 1. What does CNN stand for? 2. What is the first step in CNN? 3. What are filters used for?

12. CNN Be Like... 🤣 A fun meme to remember CNN concepts! (Insert meme image)

13. Try It Yourself! 🎮 Use an online tool to classify images! (Provide link)

14. Key Takeaways 📌 CNNs help recognize images step by step using filters, pooling, and prediction.

15. Thank You! 🎉 Hope you enjoyed learning about CNNs! Keep exploring AI!