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Вернуться к Convolutional Neural Networks

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

4.9
звезд
Оценки: 40,541
Рецензии: 5,374

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.

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:

4726–4750 из 5,348 отзывов о курсе Convolutional Neural Networks

автор: Marcus M

20 февр. 2018 г.

Lots of editing bugs in the videos. Sometimes the videos would seem to jump backwards 5-20 seconds.

автор: Alperen S A

3 сент. 2020 г.

it's quite hard and contains unnecessary computation and coding... but generally lessons are great

автор: Ishan M

18 авг. 2020 г.

Great Course, the only problem is that this course is still using TensorFlow 1 for its assignment.

автор: James C

2 мая 2019 г.

Generally a great course, just a couple of quiz questions which could be less ambiguously defined.

автор: Nazia P

23 июня 2018 г.

More assignments of transfer learning using pre-trained models need to be included in this course.

автор: Nils K

28 февр. 2018 г.

Some of the grader difficulties in week four need to be sorted out. Otherwise, interesting course.

автор: Panos

22 янв. 2018 г.

Too many grader problems existing for so long. Otherwise the material was top quality as expected.

автор: Divyansh J

3 янв. 2018 г.

Awesome content and course!

A little problem in course assignments of week4. Otherwise great course

автор: zinhart

26 сент. 2021 г.

I particularly appreciated being walked through the derivatives of conv layers in the first week.

автор: Christian H

7 мар. 2021 г.

Contentwise great as usual, but all of the tensorflow documentation links are broken. Please fix.

автор: Mouadh A

23 мая 2019 г.

Very nice course. The coding exercises code be more clear and the grading system needs some work!

автор: Dorinel B

14 мар. 2019 г.

More guidelines on tf functions use could be provided even though it has been previously covered.

автор: Dinesh K S

4 нояб. 2018 г.

This Course gave a high level lecture on CNN. This should be enough to kick start in CNN journey.

автор: Joe-Kai T

25 мая 2021 г.

Excellent course, teaching both highlevel intuition as well as low level implementation details.

автор: V R N

12 июля 2020 г.

The course was good,but i think more time could've been taken to explain yolo and sliding window

автор: AMAN G

27 апр. 2020 г.

Assignments are good,should include more explanation regarding Interactive Session of tensorflow

автор: Alexey G

25 дек. 2018 г.

Сложно писать функции, понимания где Keras, где Tensorflow - приходилось искать просто по коду:(

автор: Zhang H

28 нояб. 2017 г.

This course is really great. But I hope more such kind of contents will be introduced in future.

автор: Antonin K

25 нояб. 2018 г.

Topic is nice and well covered. Just the occasional errors/mistakes in the videos are annoying.

автор: Henrique M

28 авг. 2018 г.

I sugest to find a better way to teach Transfer Learning when we are codding in the exercises .

автор: Alex M

10 янв. 2018 г.

Got a little tedious for me. Still high quality, but not as fun or concise as previous courses.

автор: alireza h

12 дек. 2017 г.

Regardless of the problem in grading the final project, the course was very attractive! Thanks.

автор: Nguyen H S

3 окт. 2018 г.

I wish the assignment tell me more about transfer learning than using the exist trained model.

автор: Ramesh V

7 февр. 2018 г.

The grader in week 4 programming assignment 1 was behaving unexpectedly delaying my completion

автор: Arun K

22 июня 2020 г.

The course was really good. But I wish there were detailed explanation to practise questions.