{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10535001","patent":{"patent_number":"US-10535001","title":"Reducing problem complexity when analyzing 3-D images","assignee":null,"inventors":[],"filing_date":"2017-11-06T00:00:00.000Z","publication_date":"2020-01-14T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":15,"abstract":"A method for training a deep learning algorithm using N-dimensional data sets may be provided. Each data set comprises a plurality of N−1-dimensional data sets. The method comprises selecting a batch size and assembling an equally sized training batch. The samples are selected to be evenly distributed within said respective N-dimensional data sets. The method comprises also starting from a predetermined offset number, wherein the number of samples is equal to the selected batch size number, and feeding said training batches of N−1-dimensional samples into a deep learning algorithm for the training. Upon the training resulting in a learning rate that is below a predetermined level, selecting a different offset number for at least one of said N-dimensional data sets, and going back to the step of assembling. Upon the training resulting in a learning rate that is equal or higher than said predetermined level, the method stops."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Reducing problem complexity when analyzing 3-D images","description":"A method for training a deep learning algorithm using N-dimensional data sets may be provided. Each data set comprises a plurality of N−1-dimensional data sets. The method comprises selecting a batch ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10535001","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-10535001","citation_suggestion":"Patentable. \"Reducing problem complexity when analyzing 3-D images\" (US-10535001). https://patentable.app/patents/US-10535001","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10535001","json":"https://patentable.app/api/llm-context/US-10535001","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:15:35.148Z"}