keras/src/applications/efficientnet.py/EfficientNetB2
def EfficientNetB2(
    include_top=True,
    weights="imagenet",
    input_tensor=None,
    input_shape=None,
    pooling=None,
    classes=1000,
    classifier_activation="softmax",
    name="efficientnetb2",
):
    return EfficientNet(
        1.1,
        1.2,
        260,
        0.3,
        name=name,
        include_top=include_top,
        weights=weights,
        input_tensor=input_tensor,
        input_shape=input_shape,
        pooling=pooling,
        classes=classes,
        classifier_activation=classifier_activation,
        weights_name="b2",
    )