Скачать или смотреть From Straight Lines to Tigers: How Deep Learning Works (Explained Simply)

Why can deep learning identify a tiger… but fail when you zoom out just a little?
This video uses the “straight lines to tigers” journey to reveal how neural networks actually learn, why they make strange mistakes, and what this means for AI in the real world.

No heavy math. No jargon. Just intuition, storytelling, and powerful visual explanations that finally make deep learning click — even if you’re new to AI.

🔍 What You’ll Understand After This Video
Why neural networks learn patterns, not meaning
How a model evolves from detecting simple edges → shapes → objects
Why deep learning makes bizarre misclassifications
The bias–variance intuition explained simply
Why reliability is still the biggest challenge in AI

⭐ If This Made Deep Learning Clearer…

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