Foundations of Computer Vision

Online Course

Udacity
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Foundations of Computer Vision
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Foundations of Computer Vision
The course Foundations of Computer Vision is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.

Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Course description
  • Foundations of Computer Vision
  • 3 Months (10-15 hrs/week)
  • Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.
  • Work on a variety of computer vision and deep learning applications from basic image processing to automatic image captioning.
  • This program requires experience with Python, statistics, machine learning, and deep learning.See detailed requirements.
  • Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks.
  • Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.
  • Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.
  • We recommend our Deep Learning Nanodegree program as the perfect starting point for your deep learning education.
  • We recommend our Deep Learning Nanodegree program as the perfect starting point for your deep learning education.
  • Introduction to Computer Vision
  • Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks.
  • Facial Keypoint Detection
  • Advanced Computer Vision and Deep Learning
  • Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.
  • Automatic Image Captioning
  • Object Tracking and Localization
  • Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.
  • Landmark Detection & Tracking
  • This program requires experience with Python, statistics, machine learning, and deep learning.
  • The demand for engineers with computer vision and deep learning skills far exceeds the current supply. This program offers a unique opportunity to develop these in-demand skills and is for anyone seeking to launch or advance their skills in modern computer vision techniques. You’ll complete several computer vision applications using a combination of Python, computer vision, and deep learning libraries that will serve as portfolio pieces that demonstrate the skills you’ve acquired.
  • This program is designed to build on your skills in machine learning and deep learning. As such, it doesn’t prepare you for a specific job, but expands your skills in the computer vision domain. These skills can be applied to various applications such as image and video processing, automated vehicles, smartphone apps, and more.
  • If you’re new to Computer Vision, and eager to explore applications like facial recognition and object tracking, the Computer Vision Nanodegree program is an ideal choice. The curriculum introduces you to image analysis with Python and OpenCV, then goes on to cover deep learning techniques that can be applied to a variety of image classification and regression tasks. Over the course of the program, you’ll leverage your Python coding experience to build a broad portfolio of applications that showcase your newly-acquired Computer Vision skills.
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Prerequisites & Facts

Foundations of Computer Vision

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udacity

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Foundations of Computer Vision

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Foundations of Computer Vision
provided by Udacity
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School: Udacity
Topic: Computer Science

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