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

25,529 notes
3,076 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.

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176 - 200 sur 3,036 Examens pour Convolutional Neural Networks

par Rahul D K

Jan 08, 2019

Exceptional course

par Nishant S

Jan 09, 2019

Great course. Andrew is the best teacher ever!

par Ventsislav Y

Jan 08, 2019

Awesome course. Andrew Ng is an excellent lecturer! I like the content, the explanations and the references in the course. Highly recommend this course to everyone!

par Gary

Jan 21, 2019

Very useful and clear course. Thanks, Andrew and Coursera!

par David P

Jan 21, 2019


par Chen N

Jan 21, 2019

Just awesome.

par Ivaldo T

Jan 20, 2019

Definitely one of the best course I took at Coursera. It was very nice learning about the Keras library.

par Anwar S

Jan 10, 2019

Best for computer vision enthusiast. Highly recommended.

par Gautam D

Jan 11, 2019

Wonderfully explained! Andrew and team have been kind enough to provide all the important papers and documentation required too. Very well laid out course. Can't wait to finish the 5th and final course! Thanks team

par Ashutosh S

Jan 12, 2019

Excellent course material !

par Sai V K S

Jan 22, 2019

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

par Vasileios T

Jan 22, 2019

Tough, but worth it!

par Ya T C

Jan 24, 2019

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

par Dennis Y

Jan 24, 2019

Learn a lot from this course thanks NG

par Bruno G C

Jan 24, 2019

This course is awesome! I have learned a lot and finally nailed the Convolution operation!

par 朱荣鑫

Jan 25, 2019


par aman

Feb 09, 2019

Covers Computer vision from the basics.One of the best courses so far

par Abhishek N

Feb 09, 2019

Great overview of major vision problems and methods

par Saurabh G

Feb 10, 2019

Just amazing. Easy to understand.

par Bukharaev A N

Feb 10, 2019

Mr Ng is the best!

par Manuel F

Feb 08, 2019


A bit harder than first and second courses of the specialization, but totaly doable for an old economist like me ;-)


par Santiago I C

Feb 08, 2019

Perfecta continuación y muy interesante (y dificil) trabajar con imágenes

par Andrei K

Jan 25, 2019

I improved my knowledge in CNN, so I learned new CNN architectures. Thank you!

par Neeraj T

Jan 25, 2019

This course really made me feel like working on an actual project rather than just going through course material and solving some cooked up problems

par Zhiliang W

Jan 25, 2019

Learned a lot through this course!