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Learner Reviews & Feedback for Deep Learning for Computer Vision by University of Colorado Boulder

4.8
stars
14 ratings

About the Course

Unlock the power of deep learning to transform visual data into actionable insights. This hands-on course guides you through the foundational and advanced techniques that drive modern computer vision applications—from image classification to generative modeling. You'll begin with the building blocks of deep learning - understanding how multilayer perceptrons (MLPs) work, and exploring normalization techniques that stabilize and accelerate training. You'll then dive into unsupervised learning with autoencoders and discover the magic behind Generative Adversarial Networks (GANs) that can create realistic images from noise. After, you'll master the architecture that revolutionized computer vision by learning how CNNs extract spatial hierarchies and patterns from images for tasks like object detection and recognition. Finally, you'll explore cutting-edge architectures. ResNet introduces residual learning for deeper networks, while U-Net powers precise image segmentation in medical imaging and beyond. Whether you're a data scientist, engineer, or AI enthusiast, this course equips you with the skills to build and deploy deep learning models for real-world vision tasks. With practical examples and guided learning, you'll gain both theoretical understanding and hands-on experience. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder...

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1 - 4 of 4 Reviews for Deep Learning for Computer Vision

By Eduard Z

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Nov 21, 2025

Maybe the best courses on Deep Learning for visually thinking people and people who are lacking intuition despite understanding the math. Great to understand the underlying principles and the logic of neural networks in simple words. The course is best if you had some technical exposure on neural networks before. For 100% nerd status, you might need to go for additional courses for coding.

By Kodai F

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Jan 6, 2026

This is a valuable course that carefully teaches matrix operations from the ground up, a topic that often causes confusion. Since the assignments are only quizzes, I wish there were programming tasks as well.

By Gimbler F P C

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Jan 14, 2026

It's an unconventional way to learn these topics, but it's entertaining and easy to grasp.

By SATYA K M

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Nov 2, 2025

excellent