The invention relates to a machine learnable system with normalizing flow. Some embodiments are directed to a machine learnable system (110). A conditional normalizing flow function maps a latent representation (z) to a base point (e=f(z,c)) 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。


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    Title :

    A MACHINE LEARNABLE SYSTEM WITH NORMALIZING FLOW


    Additional title:

    具有标准化流的机器可学习系统



    Publication date :

    2021-01-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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