Computer Vision & CNNs Explained Simply | AI Explained #7

Computer Vision & CNNs Explained Simply – episode 7 of AI Concepts Explained, a free beginner-friendly AI and machine learning course by Irfan Hayat. How do computers see? Irfan Hayat explains computer vision and convolutional neural networks: images as numbers, filters, convolution, pooling and feature hierarchies, with animated diagrams and a Python edge-detection example. What you'll learn • Images as grids of numbers • What a convolution filter does • Edge detection with a filter in Python • Pooling and feature hierarchies • Real uses and limits of computer vision Chapters 00:00 Intro 00:38 Images are numbers 01:19 Convolution filters 02:01 Edge detection in Python 02:40 Pooling and feature hierarchies 03:21 Uses and limits 04:02 ReLU and max pooling in Python 04:55 Data augmentation 05:52 Inside a CNN step by step 06:46 Transfer learning 07:34 Quick quiz 08:27 Recap 08:58 Next: Tokens & embeddings All slides, code examples and explanations are original. Narration uses a synthetic (text-to-speech) voice reading the instructor's original script. No music, third-party footage or logos are used. ▶ Full series: AI Concepts Explained playlist #ComputerVision #DeepLearning #ArtificialIntelligence