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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,526
Рецензии: 5,372

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 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


12 янв. 2019 г.

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.

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4751–4775 из 5,348 отзывов о курсе Convolutional Neural Networks

автор: Burak H

31 июля 2019 г.

The programming assignments in week3 and week4 was not very useful unlike the previous weeks.

автор: George P

2 янв. 2018 г.

Very interesting to learn but won't be useful for my role.

Looking forward to sequence models!

автор: Silvério M P

9 сент. 2018 г.

Really good course to get a broad idea of the concepts, although not as in depth as i'd like

автор: Iain C

9 сент. 2019 г.

Bit harder to understand some of the materials in this one, but I get the general concepts.

автор: Max W

7 сент. 2018 г.

The course is awsome, but the introduction to TensorFlot as well as to Kera is improveable.

автор: Mikael B

6 янв. 2018 г.

The last coding exercises could have been a bit more in-depth, to be even more educational.

автор: Samuel S M

30 июля 2020 г.

A little less well explained that the oter ones, but still a great course. Should be free!

автор: S S

27 июня 2020 г.

The programming assignment is the highlight of this course. Good work team

автор: Pascal B

17 апр. 2020 г.

I learned a load

More comprehensive details in assignment submission errors would be great.

автор: Christian B

8 окт. 2018 г.

You rely a lot on the Discussion Forum since there seem only be limited number of mentors.

автор: Jim R

14 мар. 2018 г.

Great course. The poor video editing and strange grading anomalies detracted alot however.

автор: Vijay S

21 дек. 2017 г.

I would have liked to see more details on one-shot learning, zero-shot learning, and GANs.

автор: Raghav G

13 июля 2020 г.

A decent course though some week's ending materials get a little difficult to comprehend.

автор: Abhilash S

4 июля 2020 г.

TensorFlow could be explained in a bit more detail which could be helpful for new coders.

автор: Jason C

26 мар. 2018 г.

the grader of the assignment doesn't work well sometimes and wasted a lot of time on it.

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