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Filtering by: Creator Waddell, Karen L. Academic Affiliation Electrical Engineering and Computer Science Creator Khorram, Saeed Degree Name Master of Science (M.S.)

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:

Khorram, Saeed

Abstract:

In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...

Resource Type:

Masters Thesis

Full Text:

the augmented Lagrangian, L(x, z,y) = f(x) + g(z) + yT (Ax+Bz − c) + ρ 2 ‖Ax+Bz − c‖22 (2.4) where y

ScholarsArchive@OSU

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

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