Results 321 to 330 of about 17,207,076 (361)
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Physiology of Functional Activation
2003Nearly all studies of task-specific activation using functional neuroimaging rely on the existence of a close coupling between regional changes in brain metabolism and regional cerebral blood flow (CBF), herein referred to as activation-flow coupling (AFC).
Di Bonito P +14 more
openaire +3 more sources
Hand Clinics, 2003
This article discusses the use of prostheses in general and more specifically what can be done for the patient with injuries through the hand and carpal region. Although the article is titled Functional prostheses, the author focuses on actively controlled devices.
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This article discusses the use of prostheses in general and more specifically what can be done for the patient with injuries through the hand and carpal region. Although the article is titled Functional prostheses, the author focuses on actively controlled devices.
openaire +2 more sources
2022
This book describes the functions frequently used in deep neural networks. For this purpose, 37 activation functions are explained both mathematically and visually, and given with their LaTeX implementations due to their common use in scientific articles.
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This book describes the functions frequently used in deep neural networks. For this purpose, 37 activation functions are explained both mathematically and visually, and given with their LaTeX implementations due to their common use in scientific articles.
openaire +1 more source
The Role of Activation Function in CNN
2020 2nd International Conference on Information Technology and Computer Application (ITCA), 2020We all know that the purpose of introducing activation function is to give neural network nonlinear expression ability, so that it can better fit the results, so as to improve the accuracy.
Wang Hao +3 more
semanticscholar +1 more source
Concurrency and Computation, 2020
Convolutional Neural Networks (CNNs) have made a great impact on attaining state‐of‐the‐art results in image task classification. Weight initialization is one of the fundamental steps in formulating a CNN model.
Bekhzod Olimov +5 more
semanticscholar +1 more source
Convolutional Neural Networks (CNNs) have made a great impact on attaining state‐of‐the‐art results in image task classification. Weight initialization is one of the fundamental steps in formulating a CNN model.
Bekhzod Olimov +5 more
semanticscholar +1 more source
An Empirical Study on Generalizations of the ReLU Activation Function
ACM Southeast Regional Conference, 2019Deep Neural Networks have become the tool of choice for Machine Learning practitioners today. They have been successfully applied for solving a large class of learning problems both in the industry and academia with applications in fields such as ...
Chaity Banerjee +2 more
semanticscholar +1 more source
International Symposium on Electronics and Telecommunications, 2020
In order to improve the performance of a deep neural network, the activation function is an important aspect that we must research continuously, that is why we have expanded the research in this direction.
M. Mercioni, S. Holban
semanticscholar +1 more source
In order to improve the performance of a deep neural network, the activation function is an important aspect that we must research continuously, that is why we have expanded the research in this direction.
M. Mercioni, S. Holban
semanticscholar +1 more source
Active Materials for Functional Origami
Advanced Materials, 2023AbstractIn recent decades, origami has been explored to aid in the design of engineering structures. These structures span multiple scales and have been demonstrated to be used toward various areas such as aerospace, metamaterial, biomedical, robotics, and architectural applications.
Sophie Leanza +4 more
openaire +2 more sources
Plant Disease Detection and Classification using CNN Model with Optimized Activation Function
International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-], 2020This paper deals with the optimized real time detection of diseases that affect the plant and the area affected using Convolutional Neural Networks (CNN) algorithms so that appropriate fertilizers can be used to prevent further damage to plants from ...
S. Yegneshwar Yadhav +3 more
semanticscholar +1 more source
A CORDIC Based Configurable Activation Function for ANN Applications
IEEE Computer Society Annual Symposium on VLSI, 2020An efficient ASIC-based hardware design of activation function (AF) in neural networks faces the challenge of offering functional configurability and limited chip area.
Gopal R. Raut +3 more
semanticscholar +1 more source