Kar Mastering Computer Vision with TensorFlow 2.x

Build advanced computer vision applications using machine learning and deep learning techniques
1. Auflage 2020
ISBN: 978-1-83882-693-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 430 Seiten

No detailed description available for "Mastering Computer Vision with TensorFlow 2.x".

Autoren/Hrsg.

Kar, Krishnendu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - Computer Vision and Tensorflow Fundamentals
- Content Recognition using Local Binary Pattern

- Face Recognition and Tracking using Viola Jones Algorithm & OpenCV
- Deep learning on images

- Neural Network Architecture & Models
- Visual Search using Transfer Learning

- Object Detection using YOLO

- Semantic Segmentation and Neural Style Transfer

- Action Recognition using Multitask Deep Learning

- Object Classification and Detection using RCNN

- Deep Learning on Edge Devices with GPU/CPU Optimization
- Cloud Computing Platform for Computer Vision

Über Autor(innen)

Kar Krishnendu:

Krishnendu (Krish) is passionate about research on computer vision and solving AI problems to make our life simpler. His core expertise is deep learning - computer vision, IoT, and agile software development. Krish is also a passionate app developer and has a dash cam-based object and lane detection and turn by turn navigation and fitness app in the iOS app store - Nity Map AI Camera & Run timer.