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

4.9
stars
42,318 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

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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2101 - 2125 of 5,613 Reviews for Convolutional Neural Networks

By Diego N

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Sep 8, 2018

Simply explained very powerful state of the art convolutional networks.

By Nguyen S A

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May 29, 2018

very interesting content, detailed explanation and useful exercises too

By Mayur V

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May 14, 2018

Grader needs improvement...sometimes it won't submit my correct answers

By Junheng Z

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Mar 19, 2018

It is great, you will know CNN,VGG,YOLO2,.... so much model.

It is great

By Jan Z

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Mar 6, 2018

Very informative, concise, well presented, builds necessary intuition.

By Yaseen L

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Dec 11, 2017

Very comprehensive course on deep learning problems in computer vision.

By Tuan N

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Nov 22, 2017

It was a great course to implement some cool applications like FaceNet.

By Evaldas B

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Nov 11, 2017

Very good basics for CNN. Some knolege of Keras and Tensorflow aquired.

By Manav G

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Dec 22, 2023

Extremely well taught course and well designed programing assignments!

By Tien P

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Oct 31, 2021

It's great course with good videos and hand-on programming assignments

By Md S I

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Dec 28, 2020

Learned a lot from the basics. Wonderful course. Enjoyed it althrough!

By Sebastian J

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Jul 21, 2020

Superb instructor fantastic course structure well designed assignments

By Abdelkader B

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May 27, 2020

a complete introduction to CNN, I enjoyed every exercise in this cours

By Dhanya S

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May 23, 2020

Very helpful course giving a pretty well rounded understanding of CNN.

By Luwei Y

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Aug 30, 2019

Very detail lecture. Very helpful for understanding the basics of CNN.

By Krishan B

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Aug 4, 2019

Very Useful for understanding basics and advance concepts used in CNN.

By Manudeep R

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Mar 13, 2019

Best Course to get into the world of Computer Vision.

Great Instructor!

By Denis R

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Jan 5, 2019

interesting lectures but coding assignments are boring and far fetched

By Michael P

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Sep 11, 2018

It started slow but the applications at the end were very interesting.

By Carlos d H

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Apr 9, 2018

Enjoy the examples. Prepare your own GPU to accelerate the examples ;)

By LIYufei

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Mar 10, 2018

Very nice. It would be even better with more image processing modules.

By Tao Z

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Mar 10, 2018

Best course about Convolutional Neural Networks, strongly recommended.

By Rony C

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Dec 10, 2017

last assignment could have been better setup. But good course overall.

By Robert T

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Nov 12, 2017

One of the more important of the courses in this great Specialization.

By Farzad E b

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Sep 18, 2022

It was a great experience! Everything were explained in the best way