Chevron Left
Вернуться к Convolutional Neural Networks

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

4.9
звезд
Оценки: 39,866
Рецензии: 5,270

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

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

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:

5076–5100 из 5,241 отзывов о курсе Convolutional Neural Networks

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.

автор: Chenming X

17 нояб. 2018 г.

It is hard to understand the code and the training is limited in the coding homework.

автор: rudy F

23 нояб. 2017 г.

course was good but server/grader bugs in the programming tests were demotivating...

автор: Paul H C

21 окт. 2018 г.

Really interesting from a theoritical standpoint but the exercise are too guided..

автор: Alan P

9 дек. 2017 г.

Too much bugs in program assignment and sometimes the instructions are not clear!!

автор: Tom B

24 июля 2018 г.

programming assignments are of lower quality than previous sections of the course

автор: Maysa M G d M

28 апр. 2018 г.

I would like to see the implementation from scratch, not only pre-trained things.

автор: Ishan B

18 янв. 2018 г.

There were issues with the Coding Assignments. Lots of inconsistencies in grading

автор: Hair P

24 июня 2020 г.

This course is great, but it DEFINITELY needs to be updated to Tensorflow 2.0

автор: Xiaohua Z

11 июня 2018 г.

Terrible grading system waste u tons of time.The content itself is excellent.

автор: Shabnam M V

31 июля 2020 г.

The explanations of the first 3 courses were better and easier to understand

автор: Alec G

2 мар. 2019 г.

The grader was frustrating on the programming assignments, especially week 4

автор: Samuel C

26 нояб. 2017 г.

Class itself is great, but the buggy grader software should be fixed timely

автор: Nele V S

4 янв. 2021 г.

a pity that part of the keras code in the practical exercises is outdated

автор: Shivanand P

2 мар. 2019 г.

Grading process/grader need to be improved for Week 3 and 4 assiignments

автор: James W

13 февр. 2019 г.

Some of the coding assignments had major issues that need to be fixed.

автор: 김윤수

14 мая 2018 г.

need to teach us more about tensorflow to do last week's assignments

автор: Alex K

7 июня 2019 г.

Good content but the Coursera homework platform is severely broken.

автор: Iván I

26 окт. 2019 г.

The videos are not properly edited. Exercises are not very useful.

автор: Kshitij S

15 окт. 2019 г.

A bit difficult than prior courses. Still, enjoyed learning. :)

автор: Himanshu A

23 авг. 2018 г.

The convolution operator seemed a bit abrupt in the first week.

автор: Adriano C

27 мар. 2020 г.

There are many things to improve in the programming assignment

автор: Dong Z

16 апр. 2020 г.

Not very clear, still need to learn a lot to understand CNN.