The invention relates to a machine learnable system with conditional normalizing flow. Some embodiments are directed to a machine learnable system (110). A conditional normalizing flow function maps alatent representation (z) to a base point in a base space (E) conditional on conditioning data (c). The conditional normalizing flow function is a machine learnable function and trained on a set of training pairs.
具有条件标准化流的机器可学习系统。一些实施例针对机器可学习系统(110)。条件标准化流函数以条件作用数据(c)为条件将潜在表示(z)映射到基础空间(E)中的基础点。条件标准化流函数是机器可学习函数,并且在训练对的集合上被训练。
A MACHINE LEARNABLE SYSTEM WITH CONDITIONAL NORMALIZING FLOW
具有条件标准化流的机器可学习系统
19.01.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06K Erkennen von Daten , RECOGNITION OF DATA |