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Category: Fundamentals
Deep learning uses neural networks with many layers to find complex patterns in data, powering most modern AI breakthroughs.
Think of deep learning like looking at a photo through multiple filters. Each layer of the network spots different features - first edges, then shapes, then objects, then concepts.
More layers let the system understand more complex patterns. This is why "deep" learning works better for hard problems like understanding language or recognizing faces.
Deep learning powers the AI revolution. It made possible realistic image generation, accurate speech recognition, and conversational AI. Most impressive AI demos use deep learning.
Without deep learning, we wouldn't have ChatGPT, photo tagging, or voice assistants that actually work.
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