Search result for Visual recognition Online Courses & Certifications
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Master Facial Recognition C# - EmguCV Face Recognition
by Shuja Sardar- 3.9
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31 mins on-demand video
Learn Facial Recognition key Concepts & Develop an application to detect faces in real time environment using any camera Want to develop a Facial Recognition software but hurdled by Math Heavy Articles ? Want to learn deep concept of Facial Recognition procedure ? Moreover visual data like flow chart designed for students so that they can understand face recognition system easily....
$12.99
Introducción a la Visión Artificial con Watson y OpenCV
by Yi Leng Yao , Sacchit Chadha- 0.0
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Approx. 15 hours to complete
Watson Visual Recognition en Acción Primeros Pasos en Watson Visual Recognition Clasificación con Watson Visual Recognition Clasificadores Personalizados con Reconocimiento Visual de Watson Crear Entrenar y Probar un Modelo de Reconocimiento Visual Re-entrenar un Modelo de Reconocimiento Visual con Imágenes Negativas Utilización de Watson Visual Recognition Applicaciones de Watson Visual Recognition...
Robotics: Vision Intelligence and Machine Learning
by Jianbo Shi , Kostas Daniilidis , Dan Lee- 0.0
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12 Weeks
This is the fascinating field of visual intelligence and machine learning. How to use geometric transformations to determine 3D poses from 2D images for augmented reality tasks and visual odometry for robot localization How to recognize objects and the basics of visual learning and neural networks for the purpose of classification...
$349
Introduction to Computer Vision
by Aaron Bobick , Irfan Essa , Arpan Chakraborty- 0.0
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Approx. 4 months
Images have become ubiquitous in computing. Sometimes we forget that images often capture the light reflected from a physical scene. This course gives you both insight into the fundamentals of image formation and analysis, as well as the ability to extract information much above the pixel level. Instructor videosLearn by doing exercisesTaught by industry professionals...
Free
Computational Vision
by David Quigley- 0.0
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Approx. 8 hours to complete
Object Recognition Mental Imagery and the Visual System Deep Learning for Object Recognition Demonstrate the geon model of object recognition and its limitations....
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
These include face recognition and indexing, photo stylization or machine vision in self-driving cars. Convolutional features for visual recognition Fine-grained image recognition Convolutional features for visual recognition Object tracking and action recognition Visual object tracking Examples of visual object tracking methods Introduction to action recognition...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
Out-of-the-box Watson models for natural language understanding and visual recognition will be used. Create and test an instance of Watson Visual Recognition IBM Watson Visual Recognition Overview Watson Visual Recognition: Through the Eyes of our Working Example...
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Children Acquiring Literacy Naturally
by Dr. Dominic William Massaro- 4.3
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Approx. 8 hours to complete
Visual Word Form Area and Critical Periods Recognition Skills of Infants Visual Processes that Support Reading Rapid Serial Visual Processing (RSVP)...
Automated Multiple Face Recognition AI Using Python
by Nishit Maru- 4
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2 hours on-demand video
Learn about OpenCv Basics, Face Recognition in an image, Automation of Face Recognition System using User Inputs Facial recognition systems analyze the visual data and millions of images and videos created by high-quality Closed-Circuit Television (CCTV) cameras installed in our cities for security, smartphones, social media, and other online activity. Session 3: Introduction to Understanding Face Recognition using face_recognition library...
$12.99
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data....
