The invention discloses a scattering imaging device based on deep learning. The scattering imaging device comprises a collimated light source, a first lens, a second lens, a linear polarizing film, aspatial light modulator, a beam splitter, a third lens, a scattering medium, a photoelectric detector and an image reconstruction module; the collimation light source, the first lens, the second lens,the linear polarizing film and the beam splitter are sequentially arranged along a first optical axis. The spatial light modulator, the third lens, the scattering medium and the photoelectric detector are arranged along a second optical axis, the first optical axis and the second optical axis intersect at the beam splitter, the second optical axis is perpendicular to the direction of the first optical axis, and the scattering medium is arranged on the focal plane of the third lens; and the image reconstruction module is used for reconstructing a speckle image according to the speckle information recorded by the photoelectric detector. The optical path structure is simple, the requirement for the accuracy of the optical path is not high, and the constructed neural network can automaticallycompensate for various errors existing in the optical path.