Chevron Left
Вернуться к Convolutional Neural Networks

Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,450
Рецензии: 5,359

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


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.


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:

4801–4825 из 5,334 отзывов о курсе Convolutional Neural Networks

автор: Benjamin H D

11 дек. 2017 г.

Material is great as always, the audio could certainly be improved though

автор: Katharina E

9 янв. 2021 г.

Content is great, but the auto grader has issues costing a lot of time!

автор: Michael F

24 мая 2018 г.

Programming assignments are too easy, consisting largely of copy&paste.

автор: Richard Y

25 февр. 2018 г.

Very good course. Just please fix the buggggggggy grader in the week 3.

автор: Pengbo L

24 янв. 2018 г.

The last assignment on triple-loss has the grader-error, which a couple

автор: Dino P

2 июля 2020 г.

I'd have given it 5 if programming exercises were modified to use TF2.

автор: Ukachi O

10 мая 2020 г.

A wonderful introduction and implementation to the concepts of CovNets

автор: Vamvakaris M

8 сент. 2019 г.

It required coding on keras and tensorflow not appropriete introduced.

автор: Emmanuel R

10 июня 2018 г.

Very hard at week 2. Week 3 and Week 4 were very exciting. I liked it.

автор: Clay R

21 февр. 2018 г.

The grader could use some more debugging but otherwise excellent work.

автор: David P

6 дек. 2017 г.

Great course! Assignment notebooks could be a bit more challenging...

автор: Rafael G M

26 янв. 2020 г.

Good material.

I recommend explaining YOLO with more conceptual depth

автор: Jaisuthan A

2 сент. 2020 г.

Nice course. But we are not working on latest versions of Tensorflow

автор: Jinfeng X

12 нояб. 2019 г.

Great content! It would be better if some missing slides were there.

автор: Earneet

23 июля 2019 г.

Neural style transer part is hard to understand, the rest part easy

автор: Lin Z

7 мая 2019 г.

interesting introduction materials on convolutional neural networks.

автор: Vishwanath N

22 апр. 2020 г.

Advanced and intense concepts. Great course to develop hard skills!

автор: Adrian H

26 мар. 2020 г.

Let down by a bit of video edit or lack of but another good course.

автор: Ranjan D

2 авг. 2019 г.

Great course for getting more inside of different CNN architectures

автор: Jiby N

28 окт. 2018 г.

More challenging assignments needed for more learning opportunities

автор: Haoran S

2 мар. 2018 г.

very good course, though confused by the grading of the assignments

автор: Joel G

15 февр. 2018 г.

Great material, but some confusion on the last programming exercise

автор: Ben B

6 февр. 2018 г.

Assignment grader needs to be updated. Great course, learned a lot.

автор: Andrey S

4 дек. 2017 г.

Great course! I give 4 instead of 5 because of the last assignment.

автор: Dhanashree P

4 мая 2018 г.

Ability to train own network would improve the learning experience