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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 41,224

О курсе

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....

Лучшие рецензии


11 дек. 2019 г.

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.


11 июля 2020 г.

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

Фильтр по:

4851–4875 из 5,441 отзывов о курсе Convolutional Neural Networks

автор: Robert L

11 февр. 2018 г.

Would have been 5/5 if the final assessment didn't have a bug in the submission grading.

автор: Pavel C

28 нояб. 2017 г.

Great course!

Though you need to fix some problems and errors with last programming task.

автор: Don S

16 янв. 2021 г.

The lectures are excellent. I wish the labs were in Tensorflow 2.0 not Tensorflow 1.0.

автор: David N

5 дек. 2017 г.

Problems with expected answers matching output for graded functiosn proved frustrating.

автор: Subodh C

3 мар. 2018 г.

Issue : The final assignment issues needed too much debugging that was grader related.

автор: Li J

4 дек. 2018 г.

Great introduction course for convnet, but I hope to see how does the back prop work.

автор: Heikki S

5 сент. 2018 г.

Very good course, but some of the videos could have used some more editing in places.

автор: Mateusz O

29 янв. 2021 г.

Great course overall, but sometimes programming assignment feels like copy and paste

автор: Javier L P

17 апр. 2020 г.

Missing the notes in between the videos like in the Intro to Machine Learning course

автор: Einar W A

20 мая 2019 г.

An error with the "Face recognition" notebook, otherwise a great and in-depth course

автор: manpreet s

23 дек. 2018 г.

Great course for the ones who wants to learn CNN and the working of the convolution

автор: Alisa K

30 янв. 2018 г.

Good course. I got a lot of knowledge in this course, but a lot of bugs in exercise

автор: Алексей А

12 дек. 2017 г.

ConvNets are no more black boxes for me. May be some more mathematics worth to add.

автор: Jeff L

6 нояб. 2017 г.

I wish other topics like semantic segmentation, pose estimation, etc. were covered!

автор: Sudikshan R

15 сент. 2020 г.

Most interesting module yet!! It's so fun to see applicatios of CNNs in companies!

автор: jia-you, C L

2 нояб. 2018 г.

this course is helpful learning to image analyze, but the homework bug is too more

автор: Dip A

27 июня 2020 г.

This course is very good for Intermediate level.Thank you for this amazing course

автор: Chris D

11 нояб. 2017 г.

Good, a little hastily prepared perhaps, repetition in dialogue. Still best MOOC.

автор: Deepshri S S

5 апр. 2020 г.

The course has some really good content and the assignments are helpful as well.

автор: Hao L

9 июня 2019 г.

The last homework was not so good organized. Others are nevertheless quite good.

автор: Srikrishna R

10 сент. 2018 г.

Another great course by Andrew and Team. The programming exercises were a treat!

автор: Chenhao W

9 дек. 2017 г.

Content is great but assignments have several bugs which waste me a lot of time.

автор: Keshav B

10 июля 2020 г.

The course seemed kind off rushed, but nevertheless got a lot to learn from it.

автор: Rohit S

7 нояб. 2019 г.

There were a few issues with the Face Recognition assignment but overall great!

автор: Francesco N

1 февр. 2018 г.

Please, fix the bugs in the assignments. In particular in the Week 4 assignment