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Convolutional Neural Networks に戻る

deeplearning.ai 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

4.9
37,795件の評価
4,933件のレビュー

コースについて

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....

人気のレビュー

OA
2020年9月3日

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

AR
2020年7月11日

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

フィルター:

Convolutional Neural Networks: 4376 - 4400 / 4,886 レビュー

by aditya b

2019年1月23日

More help and material should be provided to complete programming assignments

by Th R

2020年1月15日

Too long. Can be shorter by removing some repetitions with previous courses.

by Marius C

2019年3月12日

I think some subjects like the face recognition deserved a bit more details.

by Vittal G

2019年3月10日

This was indeed a tough course. It took a while to understand some concepts.

by Jorge

2018年6月30日

Excellent course with a lot of applications of convolutional neural networks

by Xiaojie H

2018年3月25日

More Tensorflow related introductions in the program assignments are needed.

by Yevgeniy D

2017年11月18日

The course is good, but the grader is something that makes your hair go grey

by Abrar H

2020年5月28日

The course content is very good. but I think assignments need to be harder.

by Vysakh R

2020年9月27日

It was tough. Tensorflow knowledge is a must prerequisite for this course.

by Narayanan S

2019年3月15日

Very good introduction. I wish the assignments were a bit more challenging

by Alex N

2017年12月27日

Please fix the grader in Week 4 - Face recognition - Triplet loss exercise

by Ahouba C A A

2020年6月24日

I wish there had been more explanations something regarding propagations.

by Kalyan A

2020年5月2日

one less star because you are not giving me any material for this course.

by MEKALA S N

2020年5月1日

Overall course was good. Some videos are lengthy, people might get bored.

by Christian A

2019年2月26日

excellent course. the jupyter notebooks were behaving erratically though.

by Amit K

2018年4月14日

this one was hard to clear thanks for wonder full tutorials and questions

by Fereydoon V

2018年2月26日

Tensorflow and Keras tutorials need improvement and further explanations.

by Benjamin H D

2017年12月11日

Material is great as always, the audio could certainly be improved though

by Katharina E

2021年1月9日

Content is great, but the auto grader has issues costing a lot of time!

by Michael F

2018年5月24日

Programming assignments are too easy, consisting largely of copy&paste.

by Yunchao Y

2018年2月25日

Very good course. Just please fix the buggggggggy grader in the week 3.

by Pengbo L

2018年1月24日

The last assignment on triple-loss has the grader-error, which a couple

by Dino P

2020年7月2日

I'd have given it 5 if programming exercises were modified to use TF2.

by Ukachi O

2020年5月10日

A wonderful introduction and implementation to the concepts of CovNets

by Vamvakaris M

2019年9月8日

It required coding on keras and tensorflow not appropriete introduced.