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Convolutional Neural Networks(으)로 돌아가기

deeplearning.ai의 Convolutional Neural Networks 학습자 리뷰 및 피드백

4.9
26,359개의 평가
3,183개의 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

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.

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.

필터링 기준:

Convolutional Neural Networks의 3,144개 리뷰 중 176~200

교육 기관: 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.

교육 기관: mufu H

Mar 16, 2019

so good

교육 기관: Shuo J

Mar 15, 2019

good

교육 기관: Nguyễn M T

Mar 14, 2019

this course is extremely helpful.excellent !!

교육 기관: Ayush S

Mar 16, 2019

Course is great although their are some glitches in assignments.

교육 기관: Raunak N

Mar 16, 2019

good job

교육 기관: KARAN J

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 .

교육 기관: Long Q

Mar 17, 2019

very deep and useful

교육 기관: Amelie H

Mar 18, 2019

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

교육 기관: Antoni S

Mar 18, 2019

The best out there!

교육 기관: Claudio A

Mar 17, 2019

Well explained and very useful

교육 기관: OSCAR

Mar 18, 2019

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

교육 기관: 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.

교육 기관: 介阳阳

Mar 20, 2019

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

교육 기관: Akash G

Mar 20, 2019

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

교육 기관: Vishnu N S

Mar 20, 2019

very good course and great content

교육 기관: Duong V T

Mar 26, 2019

It's very helpful with detail materials and references

교육 기관: Jimut B P

Mar 21, 2019

Wonderful1

교육 기관: LUCA D

Mar 21, 2019

Assignments are more challenging!

교육 기관: Khor H Q

Mar 21, 2019

very fundamental and guided well.

교육 기관: jason z

Mar 24, 2019

Very good topic.

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

교육 기관: Mohanad Q A A

Mar 24, 2019

Wonderful!

교육 기관: Prajwal S N

Mar 24, 2019

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

교육 기관: Reza

Mar 23, 2019

This course is easy to follow, cleared some black boxes for me. Even if you are not planning to purchase, it allows you to learn the most out of it by providing answered project assignment.

교육 기관: Vitalii S

Mar 24, 2019

Cool!