Convolutional Neural Networks (CNN) Explained | CNN Architecture with Python Example
Автор: Coursesteach
Загружено: 2026-03-16
Просмотров: 6
Описание:
Understanding Convolutional Neural Networks (CNNs) is essential if you're learning Deep Learning or Computer Vision.
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In this video, we break down how CNN architecture works, including convolution layers, pooling layers, and fully connected layers. You'll also see a simple Python example using a built-in dataset to understand how CNNs classify images.
This tutorial is designed for beginners and intermediate deep learning learners who want a clear explanation without unnecessary complexity.
What you'll learn in this video
What a Convolutional Neural Network (CNN) is
How convolution layers extract image features
How pooling layers reduce image size
Why fully connected layers are used in CNNs
A simple Python example for image classification
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