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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 functionArtificial neural networkConvolutional neural networkCross entropy

Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An Exploration of Computer Vision Techniques for Bird Species Classification
Bird classification, a fine-grained categorization task, is a complex task but crucial in improving and identifying the best… 
2016
2016
A Fusion Face Recognition Approach Based on 7-Layer Deep Learning Neural Network
This paper presents a method for recognizing human faces with facial expression. In the proposed approach, a motion history image… 
2016
2016
Classification of human activity by using a Stacked Autoencoder
This paper investigates the application of a deep neural network architecture that consists of stackted autoencoder with two… 
2016
2016
ON DEGENERATE q-BERNOULLI POLYNOMIALS
In this paper, we introduce the degenerate Carlitz q-Bernoulli numbers and polynomials and give some interesting identities and… 
2015
2015
A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning
Convolutional neural networks (CNN) have been very successful at addressing different computer vision tasks thanks to their… 
2015
2015
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015
This paper describes the IBM systems for the Trilingual Entity Discovery and Linking (EDL) for the TAC 2016 Knowledge-Base… 
Highly Cited
2013
Highly Cited
2013
Structured Output Layer Neural Network Language Models for Speech Recognition
This paper extends a novel neural network language model (NNLM) which relies on word clustering to structure the output… 
2012
2012
A Note on the Generalized q-Euler Numbers and Polynomials with Weak Weight α
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… 
2005
2005
Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models
Previous research applying kernel methods to natural language parsing have focussed on proposing kernels over parse trees, which… 
1999
1999
Partial likelihood for estimation of multi-class posterior probabilities
Partial likelihood (PL) provides a unified statistical framework for developing and studying adaptive techniques for nonlinear… 
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