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Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete

Training Fully Connected Neural Networks is ∃R\exists\mathbb{R}∃R-Complete

4 April 2022
Daniel Bertschinger
Christoph Hertrich
Paul Jungeblut
Tillmann Miltzow
Simon Weber
    OffRL
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Papers citing "Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete"

2 / 2 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
84
32
0
29 Apr 2023
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
121
600
0
14 Feb 2016
1