Live briefing
Everything about Swish function
Mathematical activation function in data analysis
The swish function is a family of mathematical function defined as follows:The swish function Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Swish functionA 5-minute orientation
- Skim a recent paper: A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detectionInfluential work since 2022
- Read the landmark paper: Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural networkCited 74 times
- Go sideways: Rectified linear unitA closely related topic
- Go sideways: Gating mechanismA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural network
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification
Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning
Course keeping control strategy for large oil tankers based on nonlinear feedback of swish function
FruitClass: A Fruit Classification System Using Modified MobilenetV3 with Hard-Swish Function
HSRoadNet: Hard-Swish Activation Function and Improved Squeeze–Excitation Module Network for Road Extraction Using Satellite Remote Sensing Imagery
APTx: Better Activation Function than MISH, SWISH, and ReLU’s Variants used in Deep Learning
🆕 Influential since 2022
A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection
RoSwish: A novel Rotating Swish activation function with adaptive rotation around zero
Convex Least Angle Regression Based LASSO Feature Selection and Swish Activation Function Model for Startup Survival Rate
Periodic Analysis of Resistive Random Access Memory (RRAM)-Based Swish Activation Function
Parametric swish-cLogLog activation function for complex-valued CNN in PolSAR image interpretation
📚 Books worth reading
Open Library didn't respond; try again in a moment.
🔗 Related topics
- Rectified linear unit In the context of artificial neural networks, the rectifier or ReLU (rectified linear unit) activation function is an activation function defined as the…
- Gating mechanism In neural networks, the gating mechanism is an architectural motif for controlling the flow of activation and gradient signals. They are most prominently…
- Energy-based model An energy-based model (EBM), also called Canonical Ensemble Learning (CEL) or Learning via Canonical Ensemble (LCE), is an application of canonical ensemble…
- Truncated normal distribution In probability and statistics, the truncated normal distribution is the probability distribution derived from that of a normally distributed random variable…
- Tracy–Widom distribution The Tracy–Widom distribution is a probability distribution from random matrix theory introduced by Craig Tracy and Harold Widom (1993, 1994). It is the…
- Hyperbolastic functions The hyperbolastic functions, also known as hyperbolastic growth models, are mathematical functions that are used in medical statistical modeling. These…
- Variance function In statistics, the variance function is a smooth function that depicts the variance of a random quantity as a function of its mean. The variance function…
- Iteratively reweighted least squares The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form of a p-norm…