An analysis of state-of-the-art activation functions for supervised deep neural network
This paper provides an analysis of state-of-the-art activation functions with respect to
supervised classification of deep neural network. These activation functions comprise of …
supervised classification of deep neural network. These activation functions comprise of …
P-swish: Activation function with learnable parameters based on swish activation function in deep learning
MA Mercioni, S Holban - 2020 International Symposium on …, 2020 - ieeexplore.ieee.org
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 …
important aspect that we must research continuously, that is why we have expanded the …
[PDF][PDF] Deep Neural Network Baseline for DCASE Challenge 2016.
The DCASE Challenge 2016 contains tasks for Acoustic Scene Classification (ASC),
Acoustic Event Detection (AED), and audio tagging. Since 2006, Deep Neural Networks …
Acoustic Event Detection (AED), and audio tagging. Since 2006, Deep Neural Networks …
The receptive field as a regularizer in deep convolutional neural networks for acoustic scene classification
K Koutini, H Eghbal-Zadeh, M Dorfer… - 2019 27th European …, 2019 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have had great success in many machine vision as
well as machine audition tasks. Many image recognition network architectures have …
well as machine audition tasks. Many image recognition network architectures have …
A survey on recently proposed activation functions for Deep Learning
M Gustineli - arXiv preprint arXiv:2204.02921, 2022 - arxiv.org
Artificial neural networks (ANN), typically referred to as neural networks, are a class of
Machine Learning algorithms and have achieved widespread success, having been …
Machine Learning algorithms and have achieved widespread success, having been …
Acoustic scene classification using deep learning-based ensemble averaging
In our submission to the DCASE 2019 Task 1a, we have explored the use of four different
deep learning based neural networks architectures: Vgg12, ResNet50, AclNet, and …
deep learning based neural networks architectures: Vgg12, ResNet50, AclNet, and …
Performance analysis of sigmoid and relu activation functions in deep neural network
AA Waoo, BK Soni - Intelligent Systems: Proceedings of SCIS 2021, 2021 - Springer
Now in the modern era of technology, everyone wants to get accurate and relevant results
within a minimum period from a system. At the time of deciding to develop a deep neural …
within a minimum period from a system. At the time of deciding to develop a deep neural …
Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks
C Paseddula, SV Gangashetty - Applied Acoustics, 2021 - Elsevier
A major problem in Acoustic Scene Classification (ASC) is a representation of an acoustic
scene, which serves to be an important task for ASC. This study used Linear Prediction …
scene, which serves to be an important task for ASC. This study used Linear Prediction …
Improving the performance of deep neural networks using two proposed activation functions
In artificial neural networks, activation functions play a significant role in the learning
process. Choosing the proper activation function is a major factor in achieving a successful …
process. Choosing the proper activation function is a major factor in achieving a successful …
Enhancing sound texture in CNN-based acoustic scene classification
Acoustic scene classification is the task of identifying the scene from which the audio signal
is recorded. Convolutional neural network (CNN) models are widely adopted with proven …
is recorded. Convolutional neural network (CNN) models are widely adopted with proven …