{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11977388","patent":{"patent_number":"US-11977388","title":"Quantizing autoencoders in a neural network","assignee":null,"inventors":[],"filing_date":"2019-02-21T00:00:00.000Z","publication_date":"2024-05-07T00:00:00.000Z","cpc_codes":["G05D","G05B","G05D","G05D","G05D","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"The performance of a neural network is improved by applying quantization to data at various points in the network. In an embodiment, a neural network includes two paths. A quantization is applied to each path, such that when an output from each path is combined, further quantization is not required. In an embodiment, the neural network is an autoencoder that includes at least one skip connection. In an embodiment, the system determines a set of quantization parameters based on the characteristics of the data in the primary path and in the skip connection, such that both network paths produce output data in the same fixed point format. As a result, the data from both network paths can be combined without requiring an additional quantization."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Quantizing autoencoders in a neural network","description":"The performance of a neural network is improved by applying quantization to data at various points in the network. In an embodiment, a neural network includes two paths. A quantization is applied to e","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11977388","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-11977388","citation_suggestion":"Patentable. \"Quantizing autoencoders in a neural network\" (US-11977388). https://patentable.app/patents/US-11977388","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11977388","json":"https://patentable.app/api/llm-context/US-11977388","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:35:34.929Z"}