Readme File

classDiagram
    class SigmoidActivation {
        +forward(input: np.array) np.array
        +backward(input: np.array) np.array
    }

    class TanhActivation {
        +forward(input: np.array) np.array
        +backward(input: np.array) np.array
    }

    class ReluActivation {
          +forward(input: np.array) np.array
          +backward(input: np.array) np.array
   }

    class ActivationFunction {
        +__init__(activation_func: str) object
    }

    class layer {
        -weigths: np.ndarray
        -bias: np.ndarray
        +__init__(numberOfInputs: int, numberOfNodes: int)
        +getLayer() np.ndarray
        +compute(inputs: np.array, activation: object) np.array
    }

    class FFN {
        -activation: object
        -learningRate: float
        -layers: list<layer>
        +__init__(dimensions: list[int], activation="sigmoid", alpha=1)
        +displayModel() void
        +forward(input: list[float]) list[float]
        +backward(input: list[float], y_true: list[float]) void
        +train(X: list[float], y: list[float], max_itterations=1000, graph_points=100) void
    }

    FFN "1" *-- "many" layer : contains
    FFN "1" *-- "1" ActivationFunction : uses
    ActivationFunction "1" *-- "1" SigmoidActivation : switches to
    ActivationFunction "1" *-- "1" TanhActivation : switches to
    ActivationFunction "1" *-- "1" ReluActivation : switches to

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