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Convolutional Neural Networks(으)로 돌아가기

deeplearning.ai의 Convolutional Neural Networks 학습자 리뷰 및 피드백

40,622개의 평가
5,385개의 리뷰

강좌 소개

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

최상위 리뷰


2019년 12월 11일

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.


2020년 7월 11일

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

필터링 기준:

Convolutional Neural Networks의 5,359개 리뷰 중 5151~5175

교육 기관: Karol K

2017년 12월 3일

Issue with triplet loss function shouldn't happen. I had to remove "axis = -1" in order to pass grader even though function had produced wrong answer!!!

교육 기관: Дмитрий Х

2017년 11월 30일

There are a lot of issues with programming assignments grader (I've spent one hour to complete assignment and two days to make a grader to get it)

교육 기관: Roel H

2018년 6월 22일

The programming assignments contain bugs. Also the jupyter notebook kept on shutting down thus slowing down the learning process quite a bit :-(

교육 기관: Kalana A

2019년 1월 25일

Certain Parts are not that much clear. Specially like in the triplet loss function, until the coding was done the real procedure was not clear.

교육 기관: Kanishka D

2017년 12월 27일

the assignment setup and graders are not updated after reporting issues several times which caused a great deal of frustration among students.

교육 기관: Felix P

2017년 11월 20일

The last exercise it was a litle annoyng, it took me almost five days to figure out how to solve the face recognition because a grader fault.

교육 기관: Sergio B

2020년 12월 13일

I enjoyed the courses but I would like more practice, maybe a different module or examples aimed to help you define and optimize our models

교육 기관: Serkan Ö

2018년 6월 10일

There were repeats in the videos🤔 Also the answers to quizzes are not visible. If these would have existed, 5 stars would be reasonable.

교육 기관: Reyrey

2018년 3월 17일

Sometimes it was very difficult to understand lecturer because of his accent, but apart from that, assignments and lessons were helpful

교육 기관: Stephen D

2018년 3월 17일

This course is pretty good. Some things are not explained as well as Prof. Ng typically explains things, especially in the last week.

교육 기관: Carol S

2020년 7월 19일

The Neural Style Transfer notebook seems to have makes it difficult in the last panel to access the generated_image global variable.

교육 기관: Jkernec

2018년 1월 12일

The assignments need to be reworked as they are quite confusing and the grading system is flawed especially for the last assignment.

교육 기관: Jnana R D

2019년 3월 13일

More simple lectures with illustrations required and also graders need to fixed. Had a lot of time wasted because of buggy graders

교육 기관: NEEL V

2020년 6월 11일

It has very less explanation about working of back propagation of convolution network,

plus it can explain YOLO in much better way

교육 기관: Aoun L

2018년 5월 29일

The course is great but the assessments and grading is terrible, so many particularities and repetition that does not make sense.

교육 기관: Sudhanshu D

2018년 4월 8일

Week 3, exercise 2 is very buggy. Couldn't have completed it without the discussion forum. Kindly fix it for the future learners

교육 기관: Ankit R

2019년 10월 7일

Found it really difficult to submit programming assignments, at times the jupyter notebooks were not at all responsive.....

교육 기관: Gowdhaman S

2018년 4월 22일

Course content was good but lack with hands-on projects. It would be really helpful if the team could add capstone project.

교육 기관: vishwanathan r

2017년 11월 15일

There should be a way through which folks can download the entire zipped contents of the programming and also the lessons.

교육 기관: Carmine M

2018년 4월 12일

Very interesting and with high quality material. It could be improved by adding more tutorials about the frameworks used.

교육 기관: Corbin C

2018년 6월 1일

Poorly edited videos, poorly worded (bordering incorrect) quiz questions, buggy notebook. Good, useful content, though.

교육 기관: Bence K

2020년 1월 29일

The content of the course was perfect. But the support for the issues and the feedback for the forum threads is awful.

교육 기관: Siarhei K

2018년 3월 28일

For the YOLO part would be nice to have explanation for how to set up training set and train your own object detector.

교육 기관: Junchen F

2019년 12월 31일

The homework portion of CNN is underwhelming. We are asked to play around the core algorithm but not the core itself.

교육 기관: Claudio T

2018년 1월 14일

The content of the course is a lot of fun. I loved this module. But unfortunately the grade engine wasn't work right.