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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 3,125개 리뷰 중 51~75

교육 기관: Ricardo A

Jan 31, 2019

Great real-life and cutting edge applications of CNNs!

교육 기관: SAHAJ V

Jan 30, 2019

Excellent course content!

교육 기관: Ivaldo T

Jan 20, 2019

Definitely one of the best course I took at Coursera. It was very nice learning about the Keras library.

교육 기관: Kevin L

Jan 20, 2019

Useful courses!

교육 기관: Gary

Jan 21, 2019

Very useful and clear course. Thanks, Andrew and Coursera!

교육 기관: Katherine T

Jan 19, 2019

Great course content. Please resolve some of the technical issues with the projects.

교육 기관: Cesar L A C

Feb 01, 2019

A brilliant course! ... Yolo algorithm was very stimulating.

교육 기관: Krishna K M

Feb 02, 2019

Andrew Ng's explanation is just fluid.

교육 기관: 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.

교육 기관: Christoph B

Feb 03, 2019

great course!

교육 기관: Christian B

Feb 03, 2019

Brilliant course

교육 기관: Nguyen K T

Feb 03, 2019

very good

교육 기관: Amrit P S

Feb 04, 2019

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

교육 기관: Chen N

Jan 21, 2019

Just awesome.

교육 기관: David P

Jan 21, 2019

Useful!

교육 기관: Sai V K S

Jan 22, 2019

Highly Recommended. The course explains in the best manner possible.

교육 기관: Frank Z

Feb 04, 2019

Very great course

교육 기관: PUNIT P K

Feb 04, 2019

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

교육 기관: 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.

교육 기관: Vasileios T

Jan 22, 2019

Tough, but worth it!

교육 기관: Anubhav B

Jan 01, 2019

This is one of the best courses on CNNs which is simple yet deeply insightful :)

교육 기관: Amit P

Dec 31, 2018

Very happy with the course - CNN was a concept I had heard a lot about and this course provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.

교육 기관: Anurag A

Jan 01, 2019

Nuts and bolts of Convolution Neural Networks - this is the course. The assignments are great source of in-depth understanding

교육 기관: mohamed a e s

Dec 15, 2018

very good starting point to study CNN and its apps

교육 기관: 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.