def METHOD_NAME(layer_input, skip_input, filters, f_size=4, dropout_rate=0):
    """Layers used during upsampling"""
    u = UpSampling2D(size=2)(layer_input)
    u = Conv2D(filters, kernel_size=f_size, strides=1, padding='same', activation='relu')(u)
    if dropout_rate:
        u = Dropout(dropout_rate)(u)
    u = BatchNormalization(momentum=0.8)(u)
    u = Concatenate()([u, skip_input])
    return u