Computer vision using deep learning : neural network architectures with Python and Keras

Computer vision using deep learning neural network architectures with Python and Keras

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into foc...

Full description

Bibliographic Details
Other Authors: Verdhan, Vaibhav, author (author)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] : Apress [2021]
Edition:1st ed. 2021.
Subjects:
Computer vision.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630979906719
Table of Contents:
  • Chapter 1 Introduction to Computer Vision and Deep Learning
  • Chapter 2 Nuts and Bolts of Deep Learning for Computer Vision
  • Chapter 3 Image Classification using LeNet
  • Chapter 4 VGGNet and AlexNext Networks
  • Chapter 5 Object Detection Using Deep Learning
  • Chapter 6 Facial Recognition and Gesture Recognition
  • Chapter 7 Video Analytics Using Deep Learning
  • Chapter 8 End-to-end Model Development
  • Appendix.

Similar Items