LEARNING VISUAL CONCEPTS USING NEURAL NETWORKS

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for learning visual concepts using neural networks. One of the methods includes receiving a new symbol input comprising one or more symbols from a vocabulary; and generating a new output image that depict...

Full description

Saved in:
Bibliographic Details
Main Authors Sonnerat, Nicolas, Higgins, Irina, Matthey-de-l'Endroit, Loic, Pal, Arka Tilak, Botvinick, Matthew, Hassabis, Demis, Burgess, Christopher Paul, Lerchner, Alexander
Format Patent
LanguageEnglish
Published 23.07.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:Methods, systems, and apparatus, including computer programs encoded on computer storage media, for learning visual concepts using neural networks. One of the methods includes receiving a new symbol input comprising one or more symbols from a vocabulary; and generating a new output image that depicts concepts referred to by the new symbol input, comprising: processing the new symbol input using a symbol encoder neural network to generate a new symbol encoder output for the new symbol input; sampling, from the distribution parameterized by the new symbol encoder output, a respective value for each of a plurality of visual factors; and processing a new image decoder input comprising the respective values for the visual factors using an image decoder neural network to generate the new output image.
Bibliography:Application Number: US201816617474