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A Survey on Activation Functions and their relation with Xavier and He
  Normal Initialization

A Survey on Activation Functions and their relation with Xavier and He Normal Initialization

18 March 2020
Leonid Datta
    AI4CE
ArXivPDFHTML

Papers citing "A Survey on Activation Functions and their relation with Xavier and He Normal Initialization"

9 / 9 papers shown
Title
Improvement Graph Convolution Collaborative Filtering with Weighted addition input
Improvement Graph Convolution Collaborative Filtering with Weighted addition input
Tin T. Tran
V. Snasel
GNN
91
3
0
27 Mar 2025
Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning
Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning
Gaurav Shetty
M. Ramezani
Hamed Habibi
Holger Voos
J. L. Sánchez-López
121
0
0
09 Feb 2025
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
72
1,273
0
08 Nov 2018
On weight initialization in deep neural networks
On weight initialization in deep neural networks
S. Kumar
ODL
35
226
0
28 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
607
36,599
0
25 Aug 2016
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
57
608
0
19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.0K
76,547
0
18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
151
18,534
0
06 Feb 2015
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
124
474
0
21 Dec 2014
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