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

4.9
stars
42,029 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

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

AG

Jan 12, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

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4751 - 4775 of 5,570 Reviews for Convolutional Neural Networks

By Radu I

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Dec 8, 2017

Nice course, things didn't work out in the Jupiter Notebooks always, lucky we had the forums. Learned about CNNs, I know now how to engineer one from scratch. Cool!

By Daniel M K

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Feb 23, 2021

Amazing instructor and lectures. It reached a point after week 1 in the course after which I was no longer able to view feedback after attempting the weekly quizes

By Dhruvin S

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Aug 5, 2020

it had really good content we could really have a good understanding of the topic after this course.

one thing which can be done better is the programming exercise.

By Arshdeep K

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Jul 26, 2019

There some problem with the happy house assignment in week 4, specifically in function 'verify', kindly omit that mistake, otherwise, everything is great, loved it

By Piyush M

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Jan 23, 2019

Provides a fairly basic understanding of all the tools and processes used into making a Convolutional neural network along with the necessary background knowledge.

By Parth J P

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Mar 13, 2018

The art generation exercise is not very clear to me. i believe some more explanation on how to use and slice existing models, in the lecture could have helped alot

By Clint S

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Mar 31, 2020

There were some technical issues with assessment in this one. It seems the motivation in those creating the assessment is dropping as the specialisation goes on

By Vladimir F

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Jun 18, 2018

The course was superb, many thanks. The performance of noteboooks is annoying, it's very often I was not able to save changes to the notebook due to an "error".

By Arnav D

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Jun 15, 2018

Transfer learning is extremely important and it would be helpful if we actually learned how pretrained networks are loaded into a new network through Tensorflow

By Shivank S

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May 17, 2020

It was an amazing course. Never thought that diving in deep learning would be so amazing. The only problem was regarding update of notebooks to tensorflow 2.0.

By Alexandra M

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May 13, 2019

Videos are great. The course could use some more imaginative / challenging programming assignments, but overall it's a great way to learn the basics of CNNs.

By Howard S

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Jan 5, 2018

Content and lectures are great.

In notebooks explanations are great.

Some problems with grader in week 4.

I would also like more open ended harder assignments.

By Allan D

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Dec 31, 2017

Would be 5 stars if the last programming assignment wasn't broken. But it is a great course, I recommend it to anyone who's passionate about computer vision.

By Sandheep G

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May 10, 2020

Week 4 could have been a little more detailed, and also faced some issues with the auto-grader. Apart from that, wonderful course. Looking forward to more.

By Collin J

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Sep 15, 2018

Could use more clarification/direction on the programming assignments. Also would be interested in learning more about how back propagation works with CNNs.

By Tianqi T

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Jun 19, 2019

the content of this course was very interesting and practical. however towards the end (week 4), there were a lot of confusions about how TensorFlow works.

By Pieter N

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Jan 15, 2018

Excellent course. My only reason for not giving 5 stars is purely because there was a grading error on the last weeks' assignment which is still not fixed.

By mihai.ionut.aurel@gmail.com

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Dec 4, 2017

Really insightful. I did the course on Udacity and didnt understand much about the CNN but now I feel I have a better understand. I can't wait to apply it!

By Hao Z

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Dec 2, 2017

The bugs in the grading system make me uncomfortable. People have to submit the answer which is obviously wrong but favored by the grader to pass the test.

By Hamlet B

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Nov 19, 2017

The content was fun and very useful. The last programming assignment had some incorrect guidance and made the grading experience unnecessarily frustrating.

By Jose-Luis L

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Nov 26, 2019

The course is great. There is only one minor downside: sometimes the notebooks' connection is lost and you lose the latest modifications of your homework.

By M J

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Jul 2, 2019

A good introduction to CNN's if you haven't seen them before. Strong on concepts and motivations. Kinda vague on mathematical details and implementations.

By preethi v

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May 6, 2018

The course structure is really good. But please do fix the bugs in the assignments. Thanks to the discussion forum, it helped me a lot in fixing the bugs.

By Sudipto C

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Jan 1, 2018

Excellent content delivered very honestly by Prof. Andrew Ng. The course has some broken grader issues which need to be fixed to make this course awesome.

By Jonatan K

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Jan 6, 2020

explained very well

very interesting with andrew

the main problem with this course is bug fixing on assignments.. i lost alot of hours just because of this