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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,109
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

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.

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:

5126–5150 из 5,282 отзывов о курсе Convolutional Neural Networks

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a pity that part of the keras code in the practical exercises is outdated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

автор: Alex M

4 мар. 2020 г.

The FaceNet assignment is bugged as hell! Please fix it ASAP

автор: Srijan G

4 янв. 2020 г.

The programming difficulty suddenly increased exponentially

автор: Michał Ł

12 мая 2018 г.

Very nice course, but grader issues kill all the pleasure.

автор: Yiyun Z

16 янв. 2018 г.

The the Yolo assignment, the IOU part has grading problem!

автор: Jonathan B

25 нояб. 2019 г.

Good content but assignment grading has lots of problems!

автор: Andrea L G

4 февр. 2021 г.

Nice introduction. TensorFlow part can be improved a lot

автор: Shuo C

19 дек. 2020 г.

Great course but lots of bugs in assignments and videos.

автор: aman g

19 авг. 2020 г.

Programing assignments were more life fill in the blanks

автор: Xin H

11 нояб. 2019 г.

Some of the details are not very good just like yolo.