{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10496899","patent":{"patent_number":"US-10496899","title":"Learning method and learning device for adjusting parameters of CNN in which residual networks are provided for meta learning, and testing method and testing device using the same","assignee":null,"inventors":[],"filing_date":"2019-01-25T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N","G06N","G06N","G06V","G06V","G06V"],"num_claims":26,"abstract":"A CNN-based method for meta learning, i.e., learning to learning, by using a learning device including convolutional layers capable of applying convolution operations to an image or its corresponding input feature maps to generate output feature maps, and residual networks capable of feed-forwarding the image or its corresponding input feature maps to next convolutional layer through bypassing the convolutional layers or its sub-convolutional layers is provided. The CNN-based method includes steps of: the learning device (a) selecting a specific residual network to be dropped out among the residual networks; (b) feeding the image into a transformed CNN where the specific residual network is dropped out, and outputting a CNN output; and (c) calculating losses by using the CNN output and its corresponding GT, and adjusting parameters of the transformed CNN. Further, the CNN-based method can be also applied to layer-wise dropout, stochastic ensemble, virtual driving, and the like."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Learning method and learning device for adjusting parameters of CNN in which residual networks are provided for meta learning, and testing method and testing device using the same","description":"A CNN-based method for meta learning, i.e., learning to learning, by using a learning device including convolutional layers capable of applying convolution operations to an image or its corresponding ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10496899","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10496899","citation_suggestion":"Patentable. \"Learning method and learning device for adjusting parameters of CNN in which residual networks are provided for meta learning, and testing method and testing device using the same\" (US-10496899). https://patentable.app/patents/US-10496899","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10496899","json":"https://patentable.app/api/llm-context/US-10496899","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T15:58:09.484Z"}