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Convolutional Neural Networks(으)로 돌아가기

deeplearning.ai의 Convolutional Neural Networks 학습자 리뷰 및 피드백

4.9
26,183개의 평가
3,158개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Convolutional Neural Networks의 3,126개 리뷰 중 201~225

교육 기관: Jorge C

Jan 30, 2019

Very grateful for this awesome course.

교육 기관: Amilkar A H M

Feb 07, 2019

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

교육 기관: Santiago I C

Feb 08, 2019

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

교육 기관: aman

Feb 09, 2019

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

교육 기관: Ritaprava D

Feb 07, 2019

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

교육 기관: 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

교육 기관: Nyamerdene O

Jan 28, 2019

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

교육 기관: Ruiliang L

Jan 26, 2019

Excellent course. Lay the foundation for computer vision and nlp

교육 기관: Antonio H M

Jan 27, 2019

Excelllent Course. Great theater. Excellent material.

교육 기관: Martin Z

Jan 27, 2019

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

교육 기관: 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.

교육 기관: 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.

교육 기관: 白思开

Jan 28, 2019

Happy!Happy!Happy!

교육 기관: Pavel K

Jan 27, 2019

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

교육 기관: Bukharaev A N

Feb 10, 2019

Mr Ng is the best!

교육 기관: Parnika

Feb 10, 2019

An interesting and motivating course. Thanks for this!

교육 기관: Sundas A

Feb 10, 2019

Just one word.....outstanding!

교육 기관: Abhishek N

Feb 09, 2019

Great overview of major vision problems and methods

교육 기관: Saurabh G

Feb 10, 2019

Just amazing. Easy to understand.

교육 기관: Anand R

Jan 30, 2019

Good Course. Thank You for Provide financial aid for this

교육 기관: Anupam T

Jan 31, 2019

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

교육 기관: SAHAJ V

Jan 30, 2019

Excellent course content!

교육 기관: Ricardo A

Jan 31, 2019

Great real-life and cutting edge applications of CNNs!

교육 기관: Thomas H

Feb 11, 2019

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

교육 기관: ArsalMinhaji

Feb 11, 2019

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