Types of Neural Networks
1. Feedforward Neural Network
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Simplest type
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Data moves in one direction (input → output)
2. Convolutional Neural Networks (CNNs)
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Specialized for images and videos
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Great at detecting shapes, edges, and objects
3. Recurrent Neural Networks (RNNs)
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Designed for sequences (time, text, speech)
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Can remember past information
4. Transformers
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Modern architecture behind LLMs
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Handles long-range context very efficiently
| Traditional ML | Neural Networks | |
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