{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11308396","patent":{"patent_number":"US-11308396","title":"Neural network layer-by-layer debugging","assignee":null,"inventors":[],"filing_date":"2019-06-27T00:00:00.000Z","publication_date":"2022-04-19T00:00:00.000Z","cpc_codes":["G06N","G06N","G06F","G06F","G06N"],"num_claims":20,"abstract":"Techniques are disclosed for debugging a neural network execution on a target processor. A reference processor may generate a plurality of first reference tensors for the neural network. The neural network may be repeatedly reduced to produce a plurality of lengths. For each of the lengths, a compiler converts the neural network into first machine instructions, the target processor executes the first machine instructions to generate a first device tensor, and the debugger program determines whether the first device tensor matches a first reference tensor. A shortest length is identified for which the first device tensor does not match the first reference tensor. Tensor output is enabled for a lower-level intermediate representation of the shortest neural network, and the neural network is converted into second machine instructions, which are executed by the target processor to generate a second device tensor."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Neural network layer-by-layer debugging","description":"Techniques are disclosed for debugging a neural network execution on a target processor. A reference processor may generate a plurality of first reference tensors for the neural network. The neural ne","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11308396","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-11308396","citation_suggestion":"Patentable. \"Neural network layer-by-layer debugging\" (US-11308396). https://patentable.app/patents/US-11308396","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11308396","json":"https://patentable.app/api/llm-context/US-11308396","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T08:28:25.237Z"}