keras/src/applications/efficientnet.py/EfficientNetB4
def EfficientNetB4(
    include_top=True,
    weights="imagenet",
    input_tensor=None,
    input_shape=None,
    pooling=None,
    classes=1000,
    classifier_activation="softmax",
    name="efficientnetb4",
):
    return EfficientNet(
        1.4,
        1.8,
        380,
        0.4,
        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="b4",
    )