Fig. 18, [A basic CNN architecture. Classically,...]. - Machine Learning for Brain Disorders

Warning: The NCBI web site requires JavaScript to function. more...

NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.

Colliot O, editor. Machine Learning for Brain Disorders [Internet]. New York, NY: Humana; 2023. doi: 10.1007/978-1-0716-3195-9_3

Cover of Machine Learning for Brain Disorders

Machine Learning for Brain Disorders [Internet].

Show details

Contents

A schematic of C N N architecture is divided into two parts, feature learning and classification. The architecture has the following components. Input image, convolution plus non-linearity, pooling, convolution plus non-linearity, pooling, flatten, and fully connected.

Fig. 18

A basic CNN architecture. Classically, it is composed of two main parts. The first one, using convolution operations, performs feature learning. The features are then flattened and fed into a set of fully connected layers (i.e., a multilayer perceptron), which performs the classification or the regression task

From: Chapter 3, Deep Learning: Basics and Convolutional Neural Networks (CNNs)

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Contents

Views

Cite this Page
Vakalopoulou M, Christodoulidis S, Burgos N, et al. Deep Learning: Basics and Convolutional Neural Networks (CNNs) 2023 Jul 23. In: Colliot O, editor. Machine Learning for Brain Disorders [Internet]. New York, NY: Humana; 2023. Fig. 18, [A basic CNN architecture. Classically,...]. doi: 10.1007/978-1-0716-3195-9_3
PDF version of this page (1.5M)

Recent Activity

Clear Turn Off Turn On

Fig. 18, [A basic CNN architecture. Classically,...]. - Machine Learning for Bra...
Fig. 18, [A basic CNN architecture. Classically,...]. - Machine Learning for Brain Disorders

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on