A comprehensive survey of loss functions in machine learning

Q Wang, Y Ma, K Zhao, Y Tian - Annals of Data Science, 2020 - Springer
As one of the important research topics in machine learning, loss function plays an important
role in the construction of machine learning algorithms and the improvement of their …

Recent advances on loss functions in deep learning for computer vision

Y Tian, D Su, S Lauria, X Liu - Neurocomputing, 2022 - Elsevier
The loss function, also known as cost function, is used for training a neural network or other
machine learning models. Over the past decade, researchers have designed many loss …

[图书][B] Deep learning for computer vision: image classification, object detection, and face recognition in python

J Brownlee - 2019 - books.google.com
Page 1 Deep Learning for Computer Vision Image Classification, Object Detection and Face
Recognition in Python Jason Brownlee Page 2 i Disclaimer The information contained within …

A performance evaluation of loss functions for deep face recognition

Y Srivastava, V Murali, SR Dubey - … 2019, Hubballi, India, December 22–24 …, 2020 - Springer
Face recognition is one of the most widely publicized feature in the devices today and hence
represents an important problem that should be studied with the utmost priority. As per the …

A survey on the new generation of deep learning in image processing

L Jiao, J Zhao - Ieee Access, 2019 - ieeexplore.ieee.org
During the past decade, deep learning is one of the essential breakthroughs made in
artificial intelligence. In particular, it has achieved great success in image processing …

Recent advances in deep learning: An overview

MR Minar, J Naher - arXiv preprint arXiv:1807.08169, 2018 - arxiv.org
Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence
research. It is also one of the most popular scientific research trends now-a-days. Deep …

Deep learning in visual computing and signal processing

D Xie, L Zhang, L Bai - Applied Computational Intelligence and …, 2017 - Wiley Online Library
Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features
from input data. Nowadays, researchers have intensively investigated deep learning …

A study to find facts behind preprocessing on deep learning algorithms

G Ranganathan - Journal of Innovative Image Processing, 2021 - irojournals.com
In the near future, deep learning algorithms will be incorporated in several applications for
assisting the human beings. The deep learning algorithms have the tendency to allow a …

Research and discussion on image recognition and classification algorithm based on deep learning

Y Dong, G Liang - … conference on machine learning, big data …, 2019 - ieeexplore.ieee.org
Machine learning, as the core of artificial intelligence, is also the fundamental reason for
computer intelligence, and has been widely used in the field of artificial intelligence. With the …

Implementation of training convolutional neural networks

T Liu, S Fang, Y Zhao, P Wang, J Zhang - arXiv preprint arXiv:1506.01195, 2015 - arxiv.org
Deep learning refers to the shining branch of machine learning that is based on learning
levels of representations. Convolutional Neural Networks (CNN) is one kind of deep neural …