Chevron Left
Retour à Convolutional Neural Networks

Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par

25,597 notes
3,078 avis

À propos du cours

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Meilleurs avis


Jan 13, 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.


Sep 02, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

Filtrer par :

101 - 125 sur 3,045 Examens pour Convolutional Neural Networks

par Anubhav B

Jan 01, 2019

This is one of the best courses on CNNs which is simple yet deeply insightful :)

par Anurag A

Jan 01, 2019

Nuts and bolts of Convolution Neural Networks - this is the course. The assignments are great source of in-depth understanding

par Arun T S

Jan 01, 2019

Best one I've ever seen

par Amit P

Dec 31, 2018

Very happy with the course - CNN was a concept I had heard a lot about and this course provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.

par Rohit N

Jan 02, 2019

Awesome course! Thank you a lot.

par Michel d S M

Jan 16, 2019

One my favorite courses on Coursera!

par Martin K

Jan 15, 2019

Andrews unique way of presenting complex theoretical concepts in a compelling and easy to understand manner was essential for my learning success. Attending this course was fun. Even though the programming assignments were pretty tough in this course (for me the toughest of all the courses in the deep learning specialization), I managed to complete this course in (my) record time. This might be mostly due to the understanding of the underlying mathematical concepts which were outstandingly well presented.

Totally recommend this course!

par Neelakantan M

Jan 16, 2019

Amazing course. It was a little tougher than the earlier courses, but Andrew made it wonderful as usual. Some really practical coding assignments.

par Soroosh R

Jan 15, 2019

The course content is really good, well organized and presented. However, I received lots of (kernel) errors while working on the notebooks!

par Miguel A C E

Jan 16, 2019

Excelente curso muchas gracias por impartirlo

par Daniel J D

Jan 04, 2019

Andrew Ng's courses and Geoffrey Hinton's are about as good as courses get--rigorous, practical, and yet fairly thorough in the underlying theory. Convolution Neural Networks is certainly no exception to that as he goes into res nets and inception nets.


Jan 05, 2019


par Andrei V

Jan 03, 2019

Very robust introduction to Convolutional Neural Networks. The lessons are, as always, very concise and the programming exercises help consolidate anything that might have not been easily grasped.


Jan 04, 2019

Great Learning. Thanks

par Raj

Jan 17, 2019

Most exciting and most challenging of all courses in specialization

par Anand V S

Jan 17, 2019

The neural style assignment was way too hard though

par Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

par Krzysztof W

Feb 15, 2019

Great course, however the programming assignments could be a bit harder ;)

par Gilvandro F d M N

Feb 14, 2019


par Sarfaraz K

Feb 15, 2019

Its an absolute gem of a course. Great explanation of state of the art CNN architectures in a very simplistic way. Loved every bit of it and learned a ton more. This course is a must do for anyone from beginners to advanced.

par xuezhibo

Feb 15, 2019

Best CNN course I ever seen!

par Shi Y

Feb 16, 2019


par Guillermo F

Feb 15, 2019

Excellent course, thank you!

par Ya T C

Jan 24, 2019

The content is very useful. Prof. Ng's lecture is clear and interesting.

par Sai V K S

Jan 22, 2019

Highly Recommended. The course explains in the best manner possible.