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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par deeplearning.ai

4.9
26,811 notes
3,234 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

AG

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.

RK

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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76 - 100 sur 3,197 Examens pour Convolutional Neural Networks

par mohamed a e s

Dec 15, 2018

very good starting point to study CNN and its apps

par Vu H N

Dec 15, 2018

Very good and informative class. The jump in difficult level from the previous 3 courses was a lot though.

par Animesh M

Dec 16, 2018

It has been a wonderful course and has helped me in my project work a lot....Thanks a lot to Professor Sir for such a good way of explaining the course materials

par Akash G

Dec 16, 2018

This course explains different CNN architectures, object detection, face recognition, neural style transfer in a very effective way; Great course to understand concepts of CNN

par Leigh L

Dec 14, 2018

This course is a wonderful journey for me. I can certainly apply CNN skills into some of very interesting fields. I have already begun to experience other styles to argument my son's photo. It is a great fun. The facial recognition technique is great to learn. I'm living in China now. Chinese government applies the FR into many public CCTV. It is interesting to observe how they are using it (to say the least :)

par Christie E

Dec 15, 2018

I love this class so much I don't want to finish it :D

par YASH H J

Dec 16, 2018

Woah! Added a new Dimension to my skills :)

par Arun T S

Jan 01, 2019

Best one I've ever seen

par Shish P

Jan 02, 2019

Well organized and Conceptual course.

par Rohit N

Jan 02, 2019

Awesome course! Thank you a lot.

par Jonathan L

Dec 18, 2018

Great lectures on Convolutional Neural Networks and their role in computer vision. The course could use more lectures on using tensorflow/keras as someone new to those modules may feel a little lost at first.

par Shantanu B

Dec 19, 2018

Really learnt a lot from this course. The theory as well as the assignments were great. Loved completing it.

par Huan H

Dec 19, 2018

非常好的学习体验!视频和练习作业都很实用,对于入门CNN很有帮助。

Very good learning experience! Both the lecture videos and online practices are useful. It's very helpful for getting started with CNN.

par Md A Q

Dec 19, 2018

Great course. Learned a lot.

par parth d

Dec 18, 2018

This course is a very helpful course , and it provides a lot of information at one place

par Fernando H F

Dec 18, 2018

Great course! Andrew has an unique manner to present complex definitions in a simple way.

par Sanjay A

Dec 17, 2018

Excellent Course

par Muhammad J K

Dec 18, 2018

Awesome course.

par GANHADHAR

Jan 04, 2019

Great Learning. Thanks

par EL-KADDOURY M

Jan 05, 2019

thanks

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.

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.

par Cyril D

Jan 05, 2019

Great!

par Denis R

Jan 05, 2019

interesting lectures but coding assignments are boring and far fetched

par Nour A

Jan 07, 2019

The course explains topics I used to consider as "complicated" in a very clear and simple way. The videos and quizzes about theoretical concepts accompanied with programming assignments and extra reading material give solid understanding of the topic, its current trends, and future direction.