Sökning: "Adrian Chmielewski-anders"

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  1. 1. Activation Regions as a Proxy for Understanding Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Adrian Chmielewski-Anders; [2020]
    Nyckelord :;

    Sammanfattning : Despite the empirical success and widespread adoption of deep neural networks, methods for systematic reasoning about architectures based on measurable properties of neural networks is comparatively deficient. As measured by upper bounds on the theoretical maximum number of activation regions, deeper networks are more expressive than their shallow counterparts. LÄS MER