Skip to search formSkip to main contentSkip to account menu

Rectifier (neural networks)

Known as: RELU, Rectifier (disambiguation), Softplus 
In the context of artificial neural networks, the rectifier is an activation function defined as where x is the input to a neuron. This is also known… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
In Theory III we characterize with a mix of theory and experiments the consistency and generalization properties of deep… 
2017
2017
8 Horizontal curves play a critical role in roadway safety by providing a smooth transition between 9 tangent sections. Because… 
2016
2016
We provide a depth-based separation result for feed-forwar d ReLU neural networks, showing that a wide family of non-linear… 
Review
2010
Review
2010
Rectifying neurons are more biologically plausible than sigmoid neurons, which are more biologically plausible than hyperbolic… 
2010
2010
In real-life situations, the field of view of the imaging devices is usually smaller than the scene to be imaged, due to the… 
2007
2007
Due to the increased use of renewable energy and power electronic applications, more multilevel converters (MLC) are developed. A… 
2005
2005
The high precise method that automatically rectifying and registering the multi-source remote sensing imagery which are from… 
2005
2005
It is argued that the concept of a policy community has an enduring value in the analysis of public policy, especially if an… 
1986
1986
Previous authors have found that jitter-free operation is achievable with appropriate pulse shaping when the nonlinearity in the… 
1984
1984
Approximate formulas of wide validity are derived for gyro magnetic emission and absorption of gyromagnetic waves by mildly…