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Multi-faceted Deep Learning Models and Data

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble f...

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Bibliographic Details
Other Authors: Benois-Pineau, Jenny (Editor), Zemmari, Akka (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Subjects:
Machine Learning
Image Processing And Computer Vision
Multimedia Information Systems
Artificial Intelligence
Optical Data Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Introduction
  • 2. Deep Neural Networks: Models and methods
  • 3. Deep learning for semantic segmentation
  • 4. Beyond Full Supervision in Deep Learning
  • 5. Similarity Metric Learning
  • 6. Zero-shot Learning with Deep Neural Networks for Object Recognition
  • 7. Image and Video Captioning using Deep Architectures
  • 8. Deep Learning in Video Compression Algorithms
  • 9. 3D Convolutional Networks for Action Recognition: Application toSport Gesture Recognition
  • 10. Deep Learning for Audio and Music
  • 11. Explainable AI for Medical Imaging:Knowledge Matters
  • 12. Improving Video Quality with Generative Adversarial Networks
  • 13. Conclusion

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