Скачать или смотреть Convolutional Neural Networks (CNNs): How AI Learns to See

Convolutional Neural Networks (CNNs) are the reason AI can recognize faces, diagnose diseases, and power self-driving cars. But how do they work? In this video, we break down CNNs—from feature detection to real-world applications—and explore how they’re shaping the future of AI vision.
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00:00 Introduction to Convolutional Neural Networks (CNNs)
00:42 The Problem: Why Traditional Neural Networks Struggle with Images
02:05 The Core Idea Behind CNNs: Convolution
02:48 Convolutional Layer (Feature Detection)
03:05 Pooling Layer (Dimensionality Reduction)
03:22 Fully Connected Layer (Final Decision Making)
03:34 Why CNNs Are So Powerful
04:08 The Hierarchical Learning of CNNs
04:37 How CNNs Are Transforming AI Vision
04:59 Image Recognition: Teaching AI to See
05:54 Medical Imaging: AI as a Doctor’s Assistant
06:40 Autonomous Vehicles: The Eyes of Self-Driving Cars
07:20 AI-Generated Art & Style Transfer
08:03 Challenges of CNNs: Where They Struggle
09:12 The Future of CNNs: What’s Next?
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The script and voice of this video are created by AI -because who could better teach us the journey of AI than AI itself? Goal is to have this channel run by agents completely once the time has come.
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