Abstract:Compared with the traditional zero-shot learning,generalized zero-shot learning includes the test category and the training category.Therefore,generalized zero-shot learning is more realistic.This paper proposes a generalized zero-shot learning algorithm based on a Gaussian mixture distribution (MGM-VAE).Multi-channel structures is used in the encoder,so that the variational auto encoding(VAE) model can seek a better mapping solution in a wider space.