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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,538 ratings

About the Course

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

SH

Aug 5, 2019

Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

AL

Jun 2, 2018

The videos were very good. I came into the course knowing a bit from doing my own readings and the material covered in the course really helped me understand how convolutional neural networks work.

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By jiayongliu

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Nov 30, 2020

nice

By George N

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Oct 16, 2020

Good

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Sep 21, 2020

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Jun 28, 2020

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Jun 15, 2020

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May 24, 2020

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Jan 9, 2020

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Dec 21, 2019

nice

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nice

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Sep 17, 2019

nice

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Sep 16, 2019

good

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Jul 31, 2019

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May 23, 2019

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May 18, 2019

good

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Mar 15, 2019

good

By Shirish P

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Mar 5, 2019

Best