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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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1451 - 1475 of 5,613 Reviews for Convolutional Neural Networks

By Tauseef N

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Jun 15, 2020

Amazing course, everything was written so clear and concisely. Pleased to have this course. Thanks coursera

By yesid a c m

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Nov 19, 2019

se puede llegar a profundizar un poco más enla parte del enrenamiento, pues es muy aplicativo los notebook.

By Karan R S

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May 10, 2019

Thank you Courera and Sir Andrew Ng for invaluable content, knowledge. Also the way of teaching is awesome.

By Vu H N

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Dec 15, 2018

Very good and informative class. The jump in difficult level from the previous 3 courses was a lot though.

By Kazuya K

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Sep 3, 2018

It's pretty difficult to learn, but there is one of the most funniest algorithm! You should enroll in this.

By yyt_saber

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Mar 25, 2018

By now, I just audit the course,It's quite friendly to the new comer. I love the company of DeepLearning.AI

By Pratik K

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Feb 12, 2018

Best course of the series. Covers most of the concepts new or old. Must do for each & every ml enthusiastic

By Ram B

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Jan 24, 2018

Great course.......be prepared to overlook the minor video edits that this newly minted course still needs.

By Chu K C

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Jan 16, 2018

Got a taste of CNN, will definitely read some (or maybe all) of the papers used by Andrew during the class!

By Shah F

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Jun 24, 2022

Big Thanks to Prof. Andrew Ng for his excellent instruction and Coursera for giving me this opportunity."

By Mahdi F

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Feb 8, 2021

It was a great course, mentioning the articles was so helpful I hope that you do it for course 1 soon too.

By Mohamed M

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Aug 12, 2020

one of the best courses so far i learnt a lot from this one and also became more familiar with tensorflow.

By Martin

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Aug 1, 2020

Great lectures and self explainable programming exercises . Thanks to the instructor. Superb performance .

By Shashti K N M

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May 30, 2020

This course was excellent. It gave me a very good understanding of how Convolutional Neural Networks work.

By AUFFRET G

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May 2, 2020

Great Course! I learned a lot about all the different architectures. Very useful an practical information.

By Nikhil N

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Mar 23, 2020

A wonderful course! Both the lectures and the assignments and quizzes are very good and thought provoking.

By Yugendra L D

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Oct 10, 2019

Explanation is high quality with great contained of basics of CNN, object detection and face recognition.

By Yunfeng B

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Jan 13, 2019

It feels great to experience some state-of-the-art models and understand their essential innovative ideas.

By Daniel M M

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Dec 22, 2018

By far the hardest of the first four courses in the specialization, but incredibly useful and interesting.

By Hari K

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Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

By Anil D

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Aug 1, 2018

Enjoyed Face Verification and Face Recognition problem very much. Thanks coursera and professor Andrew Ng.

By Sambit D

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Jul 20, 2018

Excellent one!!

Adding a course for Tensorflow & Keras in this specialization would take it to a new level.

By Nick H

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Feb 26, 2018

Andrew Ng's courses are genius. Great levels of detail with concise and clear explanations of the topics.

By Heyang W

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Dec 17, 2017

Great introduction course on CNN. The homework as always ask you to deploy the core code of the algorithm.

By Shagufta M

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Nov 26, 2017

You can't find this knowledge in just appropriate number of videos anywhere on the internet. Just perfect.