{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11972347","patent":{"patent_number":"US-11972347","title":"System and method for emulating quantization noise for a neural network","assignee":null,"inventors":[],"filing_date":"2019-04-22T00:00:00.000Z","publication_date":"2024-04-30T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N","G06N"],"num_claims":16,"abstract":"A system for training a quantized neural network dataset, comprising at least one hardware processor adapted to: receive input data comprising a plurality of training input value sets and a plurality of target value sets; in each of a plurality of training iterations: for each layer, comprising a plurality of weight values, of one or more of a plurality of layers of a neural network: compute a set of transformed values by applying to a plurality of layer values one or more emulated non-uniformly quantized transformations by adding to each of the plurality of layer values one or more uniformly distributed random noise values; and compute a plurality of output values; compute a plurality of training output values; and update one or more of the plurality of weight values to decrease a value of a loss function; and output the updated plurality of weight values of the plurality of layers."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and method for emulating quantization noise for a neural network","description":"A system for training a quantized neural network dataset, comprising at least one hardware processor adapted to: receive input data comprising a plurality of training input value sets and a plurality ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11972347","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-11972347","citation_suggestion":"Patentable. \"System and method for emulating quantization noise for a neural network\" (US-11972347). https://patentable.app/patents/US-11972347","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11972347","json":"https://patentable.app/api/llm-context/US-11972347","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:09:48.168Z"}