Neural Network Architecture Diagram - Multi-Layer Feedforward Model #1769240 (License: Personal Use)

This diagram depicts a hierarchical feedforward neural network structure, starting with input node Xi connected to the first hidden layer (k₁ to kₙ), followed by progressively wider hidden layers scaled by ε, 2ε, ..., Nε. Blue arrows indicate weighted connections between layers, and the final layer converges to output Xf. The dotted lines denote layer boundaries and scaling relationships.

Used in machine learning educational content, research papers, or AI course materials to explain deep network topology, layer scaling, or backpropagation flow; matches user intent for visualizing architectural design principles.