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Softmax function
Known as:
Normalized exponential
, Softmax
, Softmax activation function
In mathematics, in particular probability theory and related fields, the softmax function, or normalized exponential, is a generalization of the…
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Related topics
Related topics
18 relations
Activation function
Artificial neural network
Convolutional neural network
Cross entropy
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Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification
Yaoming Cai
,
Zhimin Dong
,
Z. Cai
,
Xiaobo Liu
,
Guangjun Wang
Workshop on Hyperspectral Image and Signal…
2019
Corpus ID: 208883987
Convolutional neural networks (CNNs) have been widely used in remote sensing image analysis, significantly improving the state-of…
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2018
2018
Action Selection Methods in a Robotic Reinforcement Learning Scenario
Francisco Cruz
,
Peter Wuppen
,
Alvin Fazrie
,
C. Weber
,
Stefan Wermter
Latin American Conference on Computational…
2018
Corpus ID: 59234585
Reinforcement learning allows an agent to learn a new task while autonomously exploring its environment. For this aim, the agent…
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2018
2018
Topic Modeling using Variational Auto-Encoders with Gumbel-Softmax and Logistic-Normal Mixture Distributions
Denys Silveira
,
A. Carvalho
,
Marco Cristo
,
Marie-Francine Moens
IEEE International Joint Conference on Neural…
2018
Corpus ID: 52988705
Probabilistic Topic Models are widely applied in many NLP-related tasks due to their effective use of unlabeled data to capture…
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2017
2017
RNN-based Method for Fault Diagnosis of Grinding System
Qu Xing-yu
,
Zeng Peng
,
Xu Chengcheng
,
Fu Dong-dong
Cyber ..
2017
Corpus ID: 52114032
At present, the fault diagnosis of grinding system is evaluated by human being, which causes low efficiency, low accuracy, high…
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2017
2017
An Exploration of Computer Vision Techniques for Bird Species Classification
A. Alter
,
Karen Wang
2017
Corpus ID: 40187763
Bird classification, a fine-grained categorization task, is a complex task but crucial in improving and identifying the best…
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2016
2016
A Fusion Face Recognition Approach Based on 7-Layer Deep Learning Neural Network
Jianzheng Liu
,
Chunlin Fang
,
Chao Wu
Journal of Electrical and Computer Engineering
2016
Corpus ID: 25863398
This paper presents a method for recognizing human faces with facial expression. In the proposed approach, a motion history image…
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Highly Cited
2013
Highly Cited
2013
Structured Output Layer Neural Network Language Models for Speech Recognition
H. Le
,
I. Oparin
,
A. Allauzen
,
J. Gauvain
,
François Yvon
IEEE Transactions on Audio, Speech, and Language…
2013
Corpus ID: 15114457
This paper extends a novel neural network language model (NNLM) which relies on word clustering to structure the output…
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2012
2012
A Note on the Generalized q-Euler Numbers and Polynomials with Weak Weight α
C. Ryoo
2012
Corpus ID: 1205222
In this paper we introduce the generalized q-Euler numbers E (α) n,χ,q and polynomials E (α) n,χ,q(x) with weak weight…
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2006
2006
p-adic l-functions and sums of powers
Taekyun Kim
2006
Corpus ID: 1172281
Let p be a fixed prime. Throughout this paper Zp, Qp, C and Cp will, respectively, denote the ring of p-adic rational integers…
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Highly Cited
2005
Highly Cited
2005
Computational intelligence for structured learning of a partner robot based on imitation
N. Kubota
Information Sciences
2005
Corpus ID: 1050484
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