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Convolutional Neural Networks に戻る による Convolutional Neural Networks の受講者のレビューおよびフィードバック



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....




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.



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


Convolutional Neural Networks: 5151 - 5175 / 5,347 レビュー

by Jnana R D


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



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

plus it can explain YOLO in much better way

by Aoun L


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

by Sudhanshu D


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

by Ankit R


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

by Gowdhaman S


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

by vishwanathan r


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

by Carmine M


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

by Corbin C


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

by Bence K


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

by Siarhei K


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

by Junchen F


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

by Claudio T


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

by Martin N


The exercises are awkward - it is a lot of index juggling and I feel it does not help me understanding the "whys".

by Aditya M


The audio was not clear ( mostly was of low volume) at moments when the instructor was telling important points.

by Michal S


some videos weren't properly edited (repeated sentences).

I like the assignments but the machine was too slow.

by Rajib C


The Algorithms should have been touched in depth, so that we could learn and apply everything from scratch.

by James H


Great intro to CNNs - would be 5 star but downloading the support files to your own machine is such a pain.

by Tatsunari W


A great introductory course in CNN

A little too many hints and too much guidance on every coding assignment

by Ajeet M


I would like for the course to be a little bit more difficult as far as writing the programming exercises.

by Ritvik A


End of the course was not well structured. But the starting of the course was good and very well planned.

by Yifan W


Good Lecture overall, but the last assignments contain bugs that students were not supposed to figure out

by Bingcheng L


Not enough materials about the fundamentals about CNN, just a couple of implementation without details.

by Carsten F


The course was good but waiting for the 5th part of the 5-part specialization for months is a pain.

by der b


Going from lecture to code is too sparse. Needs sample or pseudo-code that can be used as a guide.