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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,451
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


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.


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:

4776–4800 из 5,336 отзывов о курсе Convolutional Neural Networks

автор: Rohit S

7 нояб. 2019 г.

There were a few issues with the Face Recognition assignment but overall great!

автор: Francesco N

1 февр. 2018 г.

Please, fix the bugs in the assignments. In particular in the Week 4 assignment

автор: Oleksandr S

26 нояб. 2017 г.

Lectures are excellent as always. Practical exercises require more enhancement.

автор: Victor I

15 февр. 2021 г.

Good course but documentation/links (especially for TensorFlow) need updating.

автор: Brett A C

24 дек. 2019 г.

The videos could stand a bit of editing, but the content is great nonetheless.

автор: Michael L

13 июля 2018 г.

Much better value than course 3, but assignment instructions could be clearer.

автор: Hasan A

20 янв. 2018 г.

I am not very interested in this topic and the assignments were very very hard

автор: Dmitry I

24 нояб. 2017 г.

Great course! However, it could be nice to write more code with less guidance.

автор: Kush S

8 июля 2020 г.

Having the ans provided in the quiz would help better understand the concepts

автор: aditya b

23 янв. 2019 г.

More help and material should be provided to complete programming assignments

автор: Th R

15 янв. 2020 г.

Too long. Can be shorter by removing some repetitions with previous courses.

автор: Marius C

12 мар. 2019 г.

I think some subjects like the face recognition deserved a bit more details.

автор: Vittal G

10 мар. 2019 г.

This was indeed a tough course. It took a while to understand some concepts.

автор: Jorge C

30 июня 2018 г.

Excellent course with a lot of applications of convolutional neural networks

автор: Xiaojie H

25 мар. 2018 г.

More Tensorflow related introductions in the program assignments are needed.

автор: Yevgeniy D

18 нояб. 2017 г.

The course is good, but the grader is something that makes your hair go grey

автор: Abrar H

28 мая 2020 г.

The course content is very good. but I think assignments need to be harder.

автор: Vysakh R

27 сент. 2020 г.

It was tough. Tensorflow knowledge is a must prerequisite for this course.

автор: Narayanan S

15 мар. 2019 г.

Very good introduction. I wish the assignments were a bit more challenging

автор: Alex N

27 дек. 2017 г.

Please fix the grader in Week 4 - Face recognition - Triplet loss exercise

автор: Pierrick R

27 февр. 2021 г.

I think that the exercices are really easy, you have to change this part.

автор: Ahouba C A A

24 июня 2020 г.

I wish there had been more explanations something regarding propagations.

автор: Kalyan A

2 мая 2020 г.

one less star because you are not giving me any material for this course.

автор: MEKALA S N

1 мая 2020 г.

Overall course was good. Some videos are lengthy, people might get bored.

автор: Christian A

26 февр. 2019 г.

excellent course. the jupyter notebooks were behaving erratically though.