A method for classifying and recognizing capsule network image based of improved reconstruct network

The invention discloses a method for classifying and recognizing capsule network images of an improved reconstructed network. The method includes: S1, constructing a capsule network; 2, inputting an image training set to that capsule network, wherein the capsule network complete image classification recognition calibration after training and learning; 3, inputting an image to be classified to thatcapsule network, wherein the maximum value of the output vector vj of the work network is the obtain recognition result; S4, the capsule network outputting the recognition result of the image to be classified, wherein the reconstructed network structure of the capsule network is deconvolution operation. The beneficial effects are: a new reconstructed network structure is provided, in which the vector is restored to the image by deconvolution operation, the network parameters are adjusted by comparing the error between the restored image and the original image, the computational parameters arereduced, and more running