Neural Architecture Builder

What is Neural Network Architecture?

Neural network architecture refers to how layers and neurons are organized. Different architectures solve different problems - from simple linear patterns to complex image recognition tasks.

Key concepts:

• Input Layer: Receives the initial data (e.g., pixel values, features)
• Hidden Layers: Process and transform data through weighted connections
• Output Layer: Produces the final prediction or classification
• Neurons: Individual processing units that apply activation functions
• Forward Propagation: Data flows from input to output through the network