What is a neural network?
Neural networks mimic how brains process information.
How It Works:
A neural network is a layered graph of interconnected nodes (?neurons?) that transform inputs through weighted sums and activation functions to learn complex mappings.
Key Benefits:
- Flexibility: Models images, text, audio, and more.
- Automatic feature learning: Extracts representations without manual engineering.
- Scalable: Deeper nets capture higher-order features.
Real-World Use Cases:
- Voice assistants: Convert speech to text.
- Image segmentation: Identify objects in medical scans.
FAQs
What?s the difference between shallow and deep?
Do neural nets require GPUs?
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