37 citations · 37 across the 1 of their papers we have counts for
2 papers
cs.LG2020
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning
Hock Hung Chieng, Noorhaniza Wahid, Pauline Ong
Activation function is a key component in deep learning that performs non-linear mappings between the inputs and outputs. Rectified Linear Unit (ReLU) has been the most popular act…
cs.NE2018★ 37 cited
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning
Hock Hung Chieng, Noorhaniza Wahid, Pauline Ong +1
Activation functions are essential for deep learning methods to learn and perform complex tasks such as image classification. Rectified Linear Unit (ReLU) has been widely used and…