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calculation by almost k² compared to traditional layers. Where k denotes the kernel size, it specifies the height and width of the 2-dimensional convolution window. from keras.layers import Conv2D, DepthwiseConv2D, Adddef inverted_residual_block(x, expand=64, squeeze=16): block = Conv2D(expand,