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Вернуться к Convolutional Neural Networks

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

4.9
звезд
Оценки: 40,149
Рецензии: 5,315

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

RS
11 дек. 2019 г.

Great Course Overall\n\nOne 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.

AG
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.

Фильтр по:

5101–5125 из 5,288 отзывов о курсе Convolutional Neural Networks

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.

автор: Dylan R

20 окт. 2018 г.

Lecture editing and programming assignment quality start to go seriously downhill in this course.

автор: Alex H

13 дек. 2017 г.

The course is not ready for prime time: grader and exercise errors would make people bald. :)

автор: Håvard S

10 дек. 2017 г.

Lectures are brilliant - but the course is let down by issues with the programming exercises.

автор: Nagaraj R

23 янв. 2019 г.

Object detection chapter was too overwhelming and I wish Mr. Ng had dumbed it down a shade.

автор: Renato R d S

27 мая 2020 г.

It will be very important an update, especially at week 1. A lot of commands are not used.

автор: Simeon S

1 мар. 2020 г.

Good overview over the materials, but there are a lot of clipping errors and typo's....

автор: Mohamed E

21 дек. 2017 г.

Needs to discuss more applications outside of image classification and computer vision.