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Вернуться к Convolutional Neural Networks

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

4.9
звезд
Оценки: 40,120
Рецензии: 5,312

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.

AR
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:

4876–4900 из 5,283 отзывов о курсе Convolutional Neural Networks

автор: Christopher M S

30 мая 2021 г.

One of the hardest course. Enjoyed it.

автор: Ara B

1 дек. 2019 г.

we need better feedback on the quizzes.

автор: Dr. H H W

24 авг. 2019 г.

Interesting insight .useful for my work

автор: Matteo G

12 февр. 2021 г.

Good course, the material is a bit old

автор: Shuhao C

18 февр. 2019 г.

Probably too easy for a mathematician.

автор: Kai Z

3 янв. 2018 г.

Error of last assignments is confusion

автор: 邵洋

22 нояб. 2017 г.

some answers you provide are wrong...

автор: An P N L

7 нояб. 2017 г.

Need to check the exercises carefully.

автор: Riyaj M

26 авг. 2020 г.

Awesome course designed by Andrew NG.

автор: Gurusiddayya H

26 апр. 2020 г.

Good experience and must learn course

автор: Luca C

15 сент. 2019 г.

Great course and practical exercises!

автор: ayoub e

25 окт. 2018 г.

Is great course about CNN that I took

автор: Erik B

4 мая 2018 г.

Great introduction into this subject.

автор: Adnan H

14 июня 2020 г.

Programming exercises need updating.

автор: sai d p v

3 дек. 2017 г.

Needs robust/challenging assignments

автор: Yigit B U

30 нояб. 2020 г.

Really fun and tangible assignments

автор: Apoorv T

27 авг. 2020 г.

improve Face recognition assignment

автор: yangxiaoxiao

7 дек. 2017 г.

not as good as three classes before

автор: 刘涛

6 июля 2020 г.

希望可以更新进来一些目标检测上,常用的Tricks,经典的算法讲解。

автор: Siddhartha C

28 июня 2020 г.

Good course. Go slow to grasp all.

автор: RISHAV D

6 июня 2020 г.

Videos need to be properly edited

автор: Yongyi W

22 дек. 2019 г.

Week 3 & 4 could be more detailed

автор: Андрей А В

5 янв. 2021 г.

A good one. Just not topical yet

автор: CHAITANYA K

24 июня 2020 г.

Too Tough concepts to understand

автор: Russel S

30 апр. 2020 г.

Programming Exercise is too easy