Convolutional Neural Networks Explained: Deep Learning Lecture (6-Minute Masterclass)

Описание: Unlock the complete understanding of Convolutional Neural Networks (CNNs)—the backbone of modern computer vision.
In this video, I teach CNNs from scratch using a 10-slide PPT: convolution, filters, feature maps, stride, padding, pooling, architecture, famous models (LeNet, VGG, ResNet), and how CNNs are trained. Perfect for B.Tech, BCA, MCA, AI-ML beginners, and college presentations.

What you’ll learn:

What is a CNN and why is it powerful?

Convolution operation with examples

Filters & feature maps

Stride vs Padding

Max Pooling & Average Pooling

Typical CNN architecture

LeNet, VGG, ResNet

Training process: loss, optimization, augmentation

Grad-CAM visualizations

This video uses:
✔ Simple English
✔ Real-world analogies
✔ PPT explanation
✔ Beginner-friendly examples