A survey of deep network techniques all classifiers can adopt
Deep neural networks (DNNs) have introduced novel and useful tools to the machine
learning community. Other types of classifiers can potentially make use of these tools as well …
learning community. Other types of classifiers can potentially make use of these tools as well …
Introduction to deep learning
L Shiloh-Perl, R Giryes - Machine Learning for Data Science Handbook …, 2023 - Springer
Introduction to Deep Learning | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Deep learning
Neural networks rose to fame in the late 1980s. There was a lot of excitement and a certain
amount of hype associated with this approach, and they were the impetus for the popular …
amount of hype associated with this approach, and they were the impetus for the popular …
On loss functions for deep neural networks in classification
K Janocha, WM Czarnecki - arXiv preprint arXiv:1702.05659, 2017 - arxiv.org
Deep neural networks are currently among the most commonly used classifiers. Despite
easily achieving very good performance, one of the best selling points of these models is …
easily achieving very good performance, one of the best selling points of these models is …
Deep learning: An overview
Deep learning is a thriving research area with many successful applications in different
fields. The article is written with a view to provide a state of the art review of deep learning …
fields. The article is written with a view to provide a state of the art review of deep learning …
[图书][B] Machine and deep learning algorithms and applications
US Shanthamallu, A Spanias - 2021 - books.google.com
This book introduces basic machine learning concepts and applications for a broad
audience that includes students, faculty, and industry practitioners. We begin by describing …
audience that includes students, faculty, and industry practitioners. We begin by describing …
Performance improvement of deep neural network classifiers by a simple training strategy
Improving the classification performance of Deep Neural Networks (DNN) is of primary
interest in many different areas of science and technology involving the use of DNN …
interest in many different areas of science and technology involving the use of DNN …
Neural Networks and Deep Learning
US Shanthamallu, A Spanias - Machine and Deep Learning Algorithms …, 2022 - Springer
In this chapter, a brief introduction to the field of artificial neural networks is provided with a
focus on deep learning [9], neural network training, and different architectures. Artificial …
focus on deep learning [9], neural network training, and different architectures. Artificial …
[PDF][PDF] Understanding Neural Networks: What, How and Why
E Inzaugarat - Medium library, 2018 - compart.uni-bremen.de
Neural networks is one of the most powerful and widely used algorithms when it comes to
the subfield of machine learning called deep learning. At first look, neural networks may …
the subfield of machine learning called deep learning. At first look, neural networks may …