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

26,789 notes
3,232 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


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.


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.

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176 - 200 sur 3,193 Examens pour Convolutional Neural Networks

par Manudeep R

Mar 13, 2019

Best Course to get into the world of Computer Vision.

Great Instructor!

par Yosef A W

Mar 14, 2019

Great course even if you feel that you understand CNN. The exercises help students get a better grasp on the concept.

par Feng W

Mar 15, 2019

I have some problem doing week four programming assignment "Happy House Face Verification/Recognition". The pre-trained model "FRmodel" wouldn't be loaded (waiting for over half hour). I still managed to submit the assignment and passed the test without running out the correct result.

par mufu H

Mar 16, 2019

so good

par Shuo J

Mar 15, 2019


par Nguyễn M T

Mar 14, 2019

this course is extremely helpful.excellent !!

par Ayush S

Mar 16, 2019

Course is great although their are some glitches in assignments.

par Raunak N

Mar 16, 2019

good job


Mar 17, 2019

This course is absolutely amazing . You get to know a lot in detail about convolutional neural networks , how they work and how to apply it in computer vision problems .

par Long Q

Mar 17, 2019

very deep and useful

par Amelie H

Mar 18, 2019

All you need to understand CNNs and start building your own network!

par Antoni S

Mar 18, 2019

The best out there!

par Claudio A

Mar 17, 2019

Well explained and very useful


Mar 18, 2019

Very interesting material and as always excellent explanation skills from professor Ng

par Peter S

Mar 18, 2019

Awesome content, really relevant to the aspects of deep learning I want to explore. Andrew is awesome at explaining complex concepts in a clear and concise way.

par 介阳阳

Mar 20, 2019

Excellent teaching! Not access to the assigment yet but already feel so excited!

par Akash G

Mar 20, 2019

The course was not in detail in terms of math and concepts. Like ML Course

par Vishnu N S

Mar 20, 2019

very good course and great content

par Duong V T

Mar 26, 2019

It's very helpful with detail materials and references

par Jimut B P

Mar 21, 2019


par LUCA D

Mar 21, 2019

Assignments are more challenging!

par Khor H Q

Mar 21, 2019

very fundamental and guided well.

par jason z

Mar 24, 2019

Very good topic.

Lesson 3 and lesson 4 can be improved or separate into new course with more depth.

par Mohanad Q A A

Mar 24, 2019


par Prajwal S N

Mar 24, 2019

Outstanding programming assignments. Well guided code. Concise lectures. Worth the time spent.