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

4.9
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

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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201 - 225 sur 3,047 Examens pour Convolutional Neural Networks

par Jorge C

Jan 30, 2019

Very grateful for this awesome course.

par Amilkar A H M

Feb 07, 2019

Great course! I would recommend it to anybody with some knowledge of machine learning.

par Santiago I C

Feb 08, 2019

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

par aman

Feb 09, 2019

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

par Ritaprava D

Feb 07, 2019

Again, the best thing about Andrew Ng course is detailed explanation of the conceptual building blocks.

par Manuel F

Feb 08, 2019

Amazing!!

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

Thanks

par Nyamerdene O

Jan 28, 2019

It is a very excellent course. It including from CNN's foundation to the latest Deep CNN architecture.

par Ruiliang L

Jan 26, 2019

Excellent course. Lay the foundation for computer vision and nlp

par Antonio H M

Jan 27, 2019

Excelllent Course. Great theater. Excellent material.

par Martin Z

Jan 27, 2019

Thanks a lot for this great course :-) Learned a hell lot!

par Matheus A F

Jan 26, 2019

Another excellent course for those who are beginners or have some intuition behind neural networks and need to hone skills, like me.

par Jayaram R

Jan 28, 2019

Andrew's explanations, and the exercises are absolutely fantastic. There seems to be a lot of tricky math in Convolution Neural Networks and Andrew's explanations and illustrations help students understand the essential concepts behind each type of Conv net.

par 白思开

Jan 28, 2019

Happy!Happy!Happy!

par Pavel K

Jan 27, 2019

This course provides a great introduction to CNNs. Further, it nicely explains recent killer-apps!

par Bukharaev A N

Feb 10, 2019

Mr Ng is the best!

par Parnika

Feb 10, 2019

An interesting and motivating course. Thanks for this!

par Sundas A

Feb 10, 2019

Just one word.....outstanding!

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 Anand R

Jan 30, 2019

Good Course. Thank You for Provide financial aid for this

par Anupam T

Jan 31, 2019

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

par SAHAJ V

Jan 30, 2019

Excellent course content!

par Ricardo A

Jan 31, 2019

Great real-life and cutting edge applications of CNNs!

par Thomas H

Feb 11, 2019

Great course but the exported slides are quite bad with overlapping texts

par ArsalMinhaji

Feb 11, 2019

Great Course. This time programming Assignment were tough but great. great learning..