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Вернуться к Convolutional Neural Networks

Отзывы учащихся о курсе Convolutional Neural Networks от партнера deeplearning.ai

4.9
звезд
Оценки: 39,899
Рецензии: 5,275

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

OA
3 сент. 2020 г.

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.

RK
1 сент. 2019 г.

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

Фильтр по:

5051–5075 из 5,245 отзывов о курсе Convolutional Neural Networks

автор: NEEL V

11 июня 2020 г.

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

plus it can explain YOLO in much better way

автор: Aoun L

29 мая 2018 г.

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

автор: Sudhanshu D

8 апр. 2018 г.

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

автор: Ankit R

7 окт. 2019 г.

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

автор: Gowdhaman S

22 апр. 2018 г.

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

автор: vishwanathan r

15 нояб. 2017 г.

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

автор: Carmine M

12 апр. 2018 г.

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

автор: Corbin C

1 июня 2018 г.

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

автор: Bence K

29 янв. 2020 г.

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

автор: Siarhei K

28 мар. 2018 г.

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

автор: Junchen F

31 дек. 2019 г.

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

автор: Claudio T

14 янв. 2018 г.

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

автор: Martin N

17 мар. 2019 г.

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

автор: Aditya M

21 июня 2020 г.

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

автор: Michal S

5 апр. 2020 г.

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

I like the assignments but the machine was too slow.

автор: Rajib C

31 мар. 2019 г.

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

автор: James H

30 дек. 2018 г.

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

автор: Tatsunari W

28 мар. 2018 г.

A great introductory course in CNN

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

автор: Ajeet M

7 окт. 2020 г.

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

автор: Ritvik A

30 авг. 2020 г.

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

автор: Ifan W

24 янв. 2018 г.

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

автор: Bingcheng L

14 июля 2019 г.

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

автор: Carsten F

30 янв. 2018 г.

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

автор: der b

28 янв. 2018 г.

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

автор: Kyusun J

11 февр. 2021 г.

Every Course is in youtube. Don't know why i paid for this. The programming exercises are oudated.