Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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
Breast tumor classification based on deep convolutional neural networks
This paper presents a novel deep learning approach focused on the classification of tumors in mammograms as malignant or benign… 
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… 
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
Comprehend DeepWalk as Matrix Factorization
Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language… 
2012
2012
Optimized Online Rank Learning for Machine Translation
We present an online learning algorithm for statistical machine translation (SMT) based on stochastic gradient descent (SGD… 
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… 
2003
2003
A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning
Pattern reordering is proposed as an alternative to sequential and batch processing for online category learning. Upon detecting… 
2002
2002
Improve latent semantic analysis based language model by integrating multiple level knowledge
We describe an extension to the use of Latent Semantic Analysis (LSA) for language modeling. This technique makes it easier to… 
1998
1998
Low computational cost classifiers for ECG diagnosis using neural networks
We investigate and compare a number of computationally efficient classifiers for categorising the Frank lead ECG as normal or one… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)