{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11461657","patent":{"patent_number":"US-11461657","title":"Data augmentation in training deep neural network (DNN) based on genetic model","assignee":null,"inventors":[],"filing_date":"2019-05-10T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06V","G06V","G10L","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"According to an aspect of an embodiment, operations may include selecting, from a training dataset, a first data point as a seed data point. The operations may further include generating a population of data points by application of a genetic model on the seed data point. The population of data points may include the seed data point and a plurality of transformed data points of the seed data point. The operations may further include determining a best-fit data point in the generated population of data points based on application of a fitness function on the generated population of data points. The operations may further include executing a training operation on the DNN based on the determined best-fit data point. The operations may further include obtaining a trained DNN for the first data point based on the training operation on the DNN based on the determined best-fit data point."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data augmentation in training deep neural network (DNN) based on genetic model","description":"According to an aspect of an embodiment, operations may include selecting, from a training dataset, a first data point as a seed data point. The operations may further include generating a population ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11461657","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-11461657","citation_suggestion":"Patentable. \"Data augmentation in training deep neural network (DNN) based on genetic model\" (US-11461657). https://patentable.app/patents/US-11461657","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11461657","json":"https://patentable.app/api/llm-context/US-11461657","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:32:50.402Z"}