Become specialized in key application areas of Computer Vision | Major component of Artificial Intelligence | Get versed in CNN Architecture and Image Convolution | Redefine your career as a Certified Computer Vision Professional
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The Curriculum of Computer Vision Course is curated to make you industry-ready to meet the challenges of the job market . It is continuously updated to keep you ahead
Gets Hands-on training on Computer Vision and Learn with Projects + Focus on Learning While Doing + Popular GCAO Pedagogy
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This course will acquaint the understudies with conventional Computer Vision themes, prior to introducing profound learning strategies for Computer Vision. The course will cover essentials just as late headways around there, which will assist the understudy with learning the rudiments just as he has become capable in applying these strategies to true applications. The course accepts that the understudy has effectively finished a full course in AI, and some prologue to profound adapting ideally, and will expand on these themes zeroing in on Computer Vision.
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In this module the candidate will learn how to work on Images, what are Convolutions 2D, Convolutions for Images, Transposed Convolution, and Fully connected Layer as a Convolution and Pooling.
In this module the candidate will learn about Cable News Network, which includes understanding of its Architecture, ALexNet, LeNet, Inception and Mobile Net Models, Transfer learning Etc. It will also equip the students with the knowledge of GPU and CPU.
In this module the candidate will learn about Object Detection with region proposals of CNNs, Bounding Box Regressor and Siamese Network for Metric Learning.
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Convolution & Deconvolution
High Dynamic Range Imaging
Fourier Transform
3D Construction
Camera & Imaging
Object Recognition
Features & Boundaries
Perception
CNNs Verification & Dection
Know more about 50+ tools covered in this Data Science with Python
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Our Computer Vision Course is exhaustive and this Computer Vision Professional Certification is proof that you have taken a big leap in mastering the domain
The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition
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