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Become a Computer Vision Expert

Become a Computer Vision Expert

$537.00Track price*

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8.1/10 (Our Score)
Product is rated as #81 in category Artificial Intelligence

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.

Instructor Details

Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.

Specification: Become a Computer Vision Expert

Duration

150 hours

Year

2020

Level

Expert

Certificate

Yes

8 reviews for Become a Computer Vision Expert

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    Pranjal C.

    Exceptionally well rounded and wholesome introduction to Computer Vision methods going from the very basic ‘classical’ OpenCV based techniques to all the way to sophisticated Deep Learning based applications. However, I do wish that Udacity ‘updates’ this course soon as the state of the art techniques discussed have changed a lot since 2017–18. After the completion of this ND, you’d be deft with state of the art advances in Computer Vision that have happened around till late 2017/early 2018. I would still give this ND a 5–star rating because it is so well made!

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    Arunava C.

    Its pretty good. Just expected a little more portions where we are supposed to write code and handle things on my own. While it has been perfect for me, a guy trying to do complete 2 Nanodegrees (CVND and DRLND) and have full–time job and a few other things. But a bit more letting the students handle, might let the ones who are just getting started with these a bit more experienced. Just a thought. Keep rocking!

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    Christopher O.

    This program is excellent for teaching the fundamentals of computer vision. The projects are interesting and fun too. I recommend it to anyone that has an interest in CV for robotics or AI. Some background knowledge is already assumed, but they provide all of the necessary information in the lectures for escential learning!

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    Ramy Raafat Mohamed Fawzy Ahmed W.

    The program exceeded my expectation to be honest, I learned a lot and it was lots of fun. What was really good as well was the extra feedback on how your models can be improved. I appreciated the course a lot and thanks to everyone who participated in the program on the teaching/logistics side, it was a great experience.

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    Akira K.

    It was very good that I could get familiarized with OpenCV library, and deep learning (CNN/RNN) with PyTorch. It was also very good that this program covers the latest topics, such as YOLO and SLAM. Lesson explanations are very carefully made and I could learn difficult concepts step by step.

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    Keelia T.

    The course is really helpful! Personally I like the career guidance the most in Narodegree Program because as a student, I have less idea of what “my career” is and how to achieve the most out of it. ND really helps me out here! Besides, all the projects are interesting and eye–opening.

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    Toure L.

    I’ve found the program more challenging than I expected. That’s a good thing. My mentor has been very helpful and generally responds very promptly. I think the online help could be improved. The chat room with other students hasn’t been very helpful. The course materials are pretty good and I like the idea of extra project activities to dig deeper into the topics. It took me so much time to complete the first project that I did not have time to do any of the extra activities. this time.

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    Jose A.

    It is difficult to follow the pace to achieve the program in three months, due to the current COVID circumstances: work, parenting a 1 year old kid and following the lessons/projects is very challenging. I wish I had more time to dedicate to the projects and courses, like the optional topics and tasks, but sadly it is not the case. Other than that, I find it very interesting, the material is very useful, specially that optional task of creating your own deep nn, and the existence of the knowledge database is also great to find my concerns shared by many other people. Kudos for your great work putting all this together!

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