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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
SemEval-2016 Task 4 : Deep Learning Architecture for Twitter Sentiment Analysis
In this paper, we present a novel deep learning architecture for sentiment analysis in Twitter messages. Our system finki… 
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… 
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… 
2015
2015
A deep neural network for audio-visual person recognition
This paper presents applications of special types of deep neural networks (DNNs) for audio-visual biometrics. A common example is… 
2013
2013
Exponential polynomial reproducing property of non-stationary symmetric subdivision schemes and normalized exponential B-splines
An important capability for a subdivision scheme is the reproducing property of circular shapes or parts of conics that are… 
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… 
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