76 citations · 105 across the 4 of their papers we have counts for
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cs.CV2020★ 20 cited
hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras
Luca Parisi, Renfei Ma, Narrendar RaviChandran +1
This paper presents the 'hyper-sinh', a variation of the m-arcsinh activation function suitable for Deep Learning (DL)-based algorithms for supervised learning, such as Convolution…
cs.CV2020★ 76 cited
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
L. Parisi, D. Neagu, R. Ma +1
The ReLU activation function (AF) has been extensively applied in deep neural networks, in particular Convolutional Neural Networks (CNN), for image classification despite its unre…