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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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4651 - 4675 of 5,570 Reviews for Convolutional Neural Networks

By Patrick K

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Mar 14, 2020

The first 2 weeks are really good and show many important facets of CNNs. I really liked the programming exercises. Week 3 and 4 dive more into certain applications and not all of it might be everyones taste.

By Isaraparb L

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Jul 22, 2018

4th course in the specialization - the hardest one so far. One minus I think the frameworks' tutorials (tensorflow/keras) are lacking, making it very confusing when you need to do the programming assignments.

By Nicholas S

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Mar 13, 2018

Course content itself was excellent, assignments were a bit buggy and I definitely spent more time then I wanted trying to figure out how something wasn't working. Discussion pages are very helpful for that.

By Kumar V

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Mar 10, 2018

Its nice course, it gives you very clear under standing of CNN. I felt exercises could be little better. once again thanks Prof. request coursera to imprive theri suppor regarding questions and other issues.

By Michael A M

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Jun 12, 2019

This was a really nice course with state of the art papers. I enjoyed very much this course. My only suggestion would be to fix the last programming assignment on face recognition and timeouts to jupyter.

By Agamemnon K

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Nov 15, 2017

Excellent course, I learned a lot! However, I think there is a fair amount of bugs in quizzes, assignments, etc.. Also, the videos require some editing, often some phrases are repeated two or three times.

By Mike S

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Dec 11, 2017

Great course, but technical difficulties with the grader as well as incorrect solutions and/or instructions led to time being lost misunderstanding concepts and/or performing kludges to make things work.

By kiran g

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Jul 14, 2020

Though much complex this topic is, it was explained in better manner and architecture of Alex Net, VGG 16 were explained in simplest manner, the box method for object detection is also neatly explained

By Aniket S

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Apr 9, 2020

Assignments in this course lacked in giving intuition. There should had been at least one assignment that makes us comfortable with all the background functions and other things that were kept abstract.

By Noam S

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Oct 21, 2018

The lectures are PERFECT. couldn't be clearer.

The exercises are very explanatory, but impossible to understand what the grader wants.

I wish the forum's mentors had been more active.

overall great course.

By Daniel D

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Jul 6, 2019

Had much less time to follow this course and I've been less able to focus on convolutional notions, but I still managed to finish the entire course, working on the projects thanks to the clear outlines

By Sarita H

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Aug 6, 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.

By Souvik B

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Aug 5, 2021

This course has been one of the harder ones in the specialization. I found some of the programming exercises to be somewhat challenging. I am really glad I finished it! Time to head to Course 5 now!

By Shivank Y

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Mar 7, 2019

This Course was really FuN and hands on.

Although I find out there were general jupyter notebook based problems in the face recognition notebook in week 4. However, the Discussion forms helped a lot.

By Mike

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Apr 2, 2020

The programming exercises should be made more extensive. Also, as a personal recommendation, maybe include some of the latest coding models and standards :). Otherwise thanks for an awesome course

By Derek T

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Feb 1, 2018

The content is not as high quality as the previous courses. Im still fuzzy on some of the material. But this is still world class, please accept my gratitude for this unprecedentedly great content!

By Srinivas

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Jun 1, 2019

Course is good. It will be really awesome if there is a sample example scenario of assignment with code to practice before going to the assignment directly, so that learners can learn very easily.

By Martin B

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Mar 7, 2019

Great material! I felt the last week was not as interesting or strong as the other ones, but I think I came out with a good idea of what ConvNets are and how to apply them in TensorFlow and Keras.

By Nicola P

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Nov 22, 2017

Amazing lectures as usual for Ng's courses. Nevertheless programming exercises are like "drawing connecting the dots": some additional effort would be useful in order to "deeply learn" the subject

By Rahul P

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Sep 16, 2020

Most Amazing Course on CNN. Every Concept Is explain by Andrew Ng is crisp and clear. Programming assignments are well designed and very important for getting the point. highly recommended course

By Liangyu Z

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Sep 22, 2019

This course has a little jump for using keras and tensorflow. There were parts where i had to look up a lot of tensorflow manuals to figure out. Hopefully there could be more information on that.

By Shringar K

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Jul 28, 2019

Very nice and crisp explanations with hyperparameters , I wish he had explained the segmentation part and other image processing techniques in deep as well. Neverthless this is a 4.5 star deal !

By Brandon C

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Dec 9, 2018

If you are not yet familiar with Tensorflow, the programming assignments are much more tedious than necessary. However, the explanations of the theory are quite helpful in visualizing convolution

By Matthew W

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Jan 20, 2018

Some programming assignments do not have the same level of "finish" as the other deep learning / machine learning courses by the same instructor, but very good in-depth material that helps a lot.

By James B

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Nov 22, 2017

Great material, but the programming assignments feel like more of an exercise in figuring what the author is thinking than a challenge for me to learn the tools necessary to go do this on my own.