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

24,777 notes
2,993 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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101 - 125 sur 2,958 Examens pour Convolutional Neural Networks

par Anupam T

Jan 31, 2019

One of the best i have gone through. Assignments are well prepared.

par Christoph B

Feb 03, 2019

great course!

par Christian B

Feb 03, 2019

Brilliant course

par Krishna K M

Feb 02, 2019

Andrew Ng's explanation is just fluid.

par Nguyen K T

Feb 03, 2019

very good

par Mfundo B S

Feb 02, 2019

This course is one of the best out there to start off your computer vision journey. I enjoyed it alot.

par Amrit P S

Feb 04, 2019

Best CNN course. Really builds from the bottom and takes the student to the top.


Feb 04, 2019

Very well planned.I owe to the people who designed the programming exercises.Thank you

par Abhishek K S

Feb 04, 2019

The CNN is always found as one of the trickier concepts to follow and it was actually very hard for me to figure out what these Conv layers are doing. But this course is so robust and easy to follow that I was even able to read the research papers on advanced CNN architectures with relative ease. Thanks to Andrew and team.

par Frank Z

Feb 04, 2019

Very great course

par Danilo R d V

Feb 06, 2019

Fantastic course!

par Mo R

Feb 06, 2019

Extremely helpful course, it covers whole concepts and building blocks of CNNs, lot of thanks for coursera and Sir Andrew for giving us the chance of learning.

par Akash G

Feb 06, 2019

By Hard Way We Learn CNN..

Awesome Project And Experience..

I want Intern

par Яков

Jan 26, 2019

Nice course

par Dusan S

Feb 07, 2019

This is an amazing course!

par Vishnusai Y

Feb 07, 2019

Excellent Course

par Satyam D

Feb 07, 2019

Excellent course on CNNs from Prof. Andrew Ng and his team at Thanks a lot for the exposure on various applications of CNNs that can really make a big difference !!!

par Kyung M L

Nov 20, 2018

I had a very pleasure time to know state of art image processing technique. Great!!

par zhiqing h

Nov 20, 2018

Very interesting hands-on projects!

par Yuezhe L

Nov 20, 2018

This is an immensely helpful class. I have been wanting to learn imaging processing and machine learning, and this class helps me get started. Using what I learnt from this class, I was able to implement CNN to help my own research.

par Amit B

Nov 06, 2018

Amazing course! I've learned a lot. Thank you!

par arturo

Nov 06, 2018

Great course

par Martín A B

Nov 07, 2018

Good theoretical material. Great for a first introductory course.

par David J

Nov 07, 2018

Excellent course!!

par Pham X V

Nov 06, 2018