Neural Networks Basics
Learn the basics of neural networks.
Understanding brain-like AI.
What are Neural Networks?
AI systems inspired by human brain.
Just like brain has neurons, neural networks have artificial neurons!
How They Work
**Layers**: - Input layer (receives data) - Hidden layers (process data) - Output layer (gives answer)
Simple Example
Recognizing if image is a cat:
**Input**: Picture pixels **Hidden layers**: Find patterns (ears, whiskers, fur) **Output**: "Cat" or "Not Cat"
Neurons and Connections
Each neuron: 1. Receives input 2. Processes it 3. Sends output
Like passing a message through a chain of people!
Weights
Connections have weights (importance levels).
During training, weights adjust to improve accuracy.
Real Example
Face recognition in your phone: - Takes your face photo - Neural network processes - Learns your unique features - Unlocks phone when it sees you!
Deep Learning
Neural networks with many layers = Deep Learning
More layers = Can learn more complex patterns
Remember
- Neural networks mimic brain - Made of layers and neurons - Learn by adjusting weights