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Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry

Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry

Ji Yang
Lu Sang
Daniel Cremers
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Papers citing "Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry"

5 / 5 papers shown
Title
On Characterizing the Capacity of Neural Networks using Algebraic Topology
On Characterizing the Capacity of Neural Networks using Algebraic Topology
William H. Guss
Ruslan Salakhutdinov
49
89
0
13 Feb 2018
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
78
589
0
11 Oct 2017
Deep Retinal Image Understanding
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbeláez
Luc Van Gool
42
507
0
05 Sep 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
71
587
0
16 Jun 2016
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
112
731
0
12 Dec 2015