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Udacity’s Computer Vision Nanodegree Program – Ratings and Review!

Udacity's Computer Vision Nanodegree Program - Ratings and Review!
Data Science

Udacity’s Computer Vision Nanodegree Program – Ratings and Review!

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In Udacity’s Computer Vision Nanodegree Program, master the computer vision skills behind advances in robotics and automation.

Udacity's Computer Vision Nanodegree Program - Ratings and Review!

Enroll in Udacity’s Computer Vision Nanodegree Program today!

Overview of the Udacity’s Computer Vision Nanodegree Program

In Udacity’s Computer Vision Nanodegree Program, 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.

Udacity’s Computer Vision Nanodegree Program Syllabus

1. 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.

2. 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.

3. 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.

Instructors of Udacity’s Computer Vision Nanodegree Program

Here is a list of instructors associated with the Udacity Nanodegree Program:

1. Sebastian Thrun (Instructor)

As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

2. Cezanne Camacho (Curriculum Lead)

Cezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she’s applied computer vision and deep learning to medical diagnostic applications.

3. Alexis Cook (Curriculum Lead)

Alexis is an applied mathematician with a Masters in Computer Science from Brown University and a Masters in Applied Mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.

4. Juan Delgado (Content Developer)

Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.

5. Ortal Arel (Curriculum Lead)

Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.

6. Luis Serrano (Instructor)

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Review: “Definitely worth enrolling in!”

After successfully completing the Nanodegree program, you will find that the program is very comprehensive and teaches you everything promised by the program.

Plus, the certification is also really helpful since this Udacity Nanodegree Program is well-recognized amongst multiple industries.

Enroll in Udacity’s Computer Vision Nanodegree Program today!

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