Results 311 to 320 of about 17,207,076 (361)

Targeting the plasticity of intestinal neutrophils: bidirectional regulation strategies by natural products. [PDF]

Front Immunol
Kang R, Sun A, Yang J, Chang L, Sun W, Kou F, Cheng Y.   +6 more
europepmc   +1 more source

Autophagy-NLRP3 Inflammasome Crosstalk in Microglia: A Therapeutic Target for Multiple Sclerosis. [PDF]

Inflammation
Lu JQ, Wang HQ, Fang MR, Ye XM, Song KY.
europepmc   +1 more source

Macrophages activated by type 2 cytokines : function and gene expression

, 2003
Meera G. Nair
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Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique

Computer Vision and Pattern Recognition, 2022
Deep learning researchers have a keen interest in proposing new novel activation functions that can boost neural network performance. A good choice of activation function can have a significant effect on improving network performance and training ...
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, A. Pandey   +3 more
semanticscholar   +1 more source

Mish: A Self Regularized Non-Monotonic Activation Function

British Machine Vision Conference, 2020
We propose Mish , a novel self-regularized non-monotonic activation function which can be mathematically defined as: f ( x ) = x tanh ( softplus ( x )) .
Diganta Misra
semanticscholar   +1 more source

Digital Implementation of the Softmax Activation Function and the Inverse Softmax Function

2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), 2022
An increase in interest in Deep Neural Networks can be attributed to the recent successes of Deep Learning in various AI applications. Deep Neural Networks form the implementation platform for all these application domains.
Raghuram S, Anirudh S Bharadwaj, Deepika S K, Mridula S Khadabadi, Aditya Jayaprakash   +4 more
semanticscholar   +1 more source

A novel nonlinear optimization method for fitting a noisy Gaussian activation function

International Journal of Adaptive Control and Signal Processing, 2021
It is significant to fit a Gaussian function with the observation data for artificial intelligence or other engineering fields. Considering the influence of noises, this article proposes a nonlinear optimization method for fitting the Gaussian activation
Jimei Li, Feng Ding, T. Hayat
semanticscholar   +1 more source

A Review of Activation Function for Artificial Neural Network

International Symposium on Applied Machine Intelligence and Informatics, 2020
The activation function plays an important role in the training and the performance of an Artificial Neural Network. They provide the necessary non-linear properties to any Artificial Neural Network.
Andrinandrasana David Rasamoelina, Fouzia Adjailia, P. Sinčák   +2 more
semanticscholar   +1 more source