CNN for RGB Images Explained | How Convolution Works on Color Channels| Computer Vision Tutorial|EP5

Описание: In this video (Episode 5), we’ll explore how Convolutional Neural Networks (CNNs) work with RGB images. 🎨📷

You’ll learn:

The difference between grayscale vs RGB images in CNNs

How CNN handles 3 color channels (Red, Green, Blue)

Convolution operations across multiple channels

Visualization of feature maps from RGB images

Practical examples with Python & OpenCV/Keras

By the end of this tutorial, you’ll clearly understand how CNNs process color images and extract meaningful features from them – a key step for real-world computer vision tasks like object detection and image classification.

👉 Part of my Computer Vision with Python Playlist to make you AI/ML job-ready!