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Size and Depth Separation in Approximating Benign Functions with Neural
  Networks

Size and Depth Separation in Approximating Benign Functions with Neural Networks

30 January 2021
Gal Vardi
Daniel Reichman
T. Pitassi
Ohad Shamir
ArXivPDFHTML

Papers citing "Size and Depth Separation in Approximating Benign Functions with Neural Networks"

2 / 2 papers shown
Title
Improved Bounds on Neural Complexity for Representing Piecewise Linear
  Functions
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen
H. Garudadri
Bhaskar D. Rao
11
18
0
13 Oct 2022
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
602
0
14 Feb 2016
1