cifar10_methodology_flow.mmd

CIFAR-10 methodology flow - 30 lines. View on GitHub (image/cifar10_methodology_flow.mmd).

Rendered diagram

Rendering diagram…

Source

%%{init: {'flowchart': {'defaultRenderer': 'elk'}}}%%
flowchart TB
    subgraph Encoding["Encoding"]
        direction LR
        A["Raw Image"] --> B["Grayscale +<br/>Conv Front-End"]
        B --> C["DyNED | DyNEDc"]
        C <-.->|Error Feedback| D["Verification"]
    end

    subgraph Classification["Classification"]
        direction LR
        E["SNN Training"] --> F["SNN<br/>Classification"]
    end

    Encoding --> Classification

    classDef inputStyle fill:#27AE60,stroke:#1E8449,color:white,font-weight:bold,font-size:20px
    classDef prepStyle fill:#2C3E50,stroke:#1B2631,color:white,font-weight:bold,font-size:20px
    classDef encStyle fill:#E67E22,stroke:#CA6F1E,color:white,font-weight:bold,font-size:20px
    classDef verStyle fill:#1ABC9C,stroke:#16A085,color:white,font-weight:bold,font-size:20px
    classDef snnStyle fill:#C0392B,stroke:#922B21,color:white,font-weight:bold,font-size:20px
    classDef classStyle fill:#8E44AD,stroke:#6C3483,color:white,font-weight:bold,font-size:20px

    class A inputStyle
    class B prepStyle
    class C encStyle
    class D verStyle
    class E snnStyle
    class F classStyle