↓ Skip to main content
What is this page? Embed badge

Deep Learning Applications, Volume 4

Overview of attention for book
Deep Learning Applications, Volume 4
Springer Nature Singapore

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of Human Papillomavirus from Super-Resolution Microscopic Images Generated Using Deep Learning Architectures
  3. Altmetric Badge
    Chapter 2 Evaluation of Sequential and Temporally Embedded Deep Learning Models for Health Outcome Prediction
  4. Altmetric Badge
    Chapter 3 Transfer Learning for Depression Screening from Follow-Up Clinical Interview Questions
  5. Altmetric Badge
    Chapter 4 Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings
  6. Altmetric Badge
    Chapter 5 A Comprehensive Analysis of Aspect-Oriented Suggestion Extraction from Online Reviews
  7. Altmetric Badge
    Chapter 6 Language Models for Deep Learning Programming: A Case Study with Keras
  8. Altmetric Badge
    Chapter 7 Next Job Application Prediction by Leveraging Textual Information, Metadata, and Personalized-Attention Mechanism
  9. Altmetric Badge
    Chapter 8 A Contrario Multi-scale Anomaly Detection Method for Industrial Quality Inspection
  10. Altmetric Badge
    Chapter 9 Anomaly Detection and Debugging by Kernel Ridge Reconstruction
  11. Altmetric Badge
    Chapter 10 Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
  12. Altmetric Badge
    Chapter 11 Resource-Aware Capsule Network
  13. Altmetric Badge
    Chapter 13 Efficient Deep Learning of Kerr Nonlinearity in Fiber-Optic Channels Using a Convolutional Recurrent Neural Network
  14. Altmetric Badge
    Chapter 14 Multi-layer Wavelet Transformations for Image Super-Resolution: Applications to Voxel-Based Deep Learning and Areal Density Maps of Carbon Nanotube Sheets
  15. Altmetric Badge
    Chapter 15 Deep Semi-supervised Learning for Time-Series Classification
Attention for Chapter 10: Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
Altmetric Badge
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
Chapter number 10
Book title
Deep Learning Applications, Volume 4
Published by
Springer, Singapore, November 2022
DOI 10.1007/978-981-19-6153-3_10
Book ISBNs
978-9-81-196152-6, 978-9-81-196153-3
Authors

Richter, Mats L., Schöning, Julius, Wiedenroth, Anna, Krumnack, Ulf

View on publisher site

This page is provided by Altmetric.