Signal processing systems

摘要

We describe a signal processor, the signal processor comprising: a probability vector generation system, wherein said probability vector generation system has an input to receive a category vector for a category of output example and an output to provide a probability vector for said category of output example, wherein said output example comprises a set of data points, and wherein said probability vector defines a probability of each of said set of data points for said category of output example; a memory storing a plurality of said category vectors, one for each of a plurality of said categories of output example; and a stochastic selector to select a said stored category of output example for presentation of the corresponding category vector to said probability vector generation system; wherein said signal processor is configured to output data for an output example corresponding to said selected stored category.

主权项

1. A neural network system implemented as one or more computers for generating samples of a particular sample type, wherein each generated sample belongs to a respective category of a predetermined set of categories, and wherein each generated sample is an ordered collection of values, each value having a sample position in the collection, and wherein the system comprises:
a first stochastic layer configured to stochastically select a category from the predetermined set of categories; a first deterministic subnetwork configured to:
receive an embedding vector corresponding to the selected category, andprocess the embedding vector to generate a respective sample score for each sample position in the collection; and a second stochastic layer configured to generate an output sample by stochastically selecting, for each sample position, a sample value using the sample score for the sample position.