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Вернуться к Deep Neural Networks with PyTorch

Отзывы учащихся о курсе Deep Neural Networks with PyTorch от партнера IBM

Оценки: 1,095
Рецензии: 244

О курсе

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered. Learning Outcomes: After completing this course, learners will be able to: • explain and apply their knowledge of Deep Neural Networks and related machine learning methods • know how to use Python libraries such as PyTorch for Deep Learning applications • build Deep Neural Networks using PyTorch...

Лучшие рецензии


29 апр. 2020 г.

An extremely good course for anyone starting to build deep learning models. I am very satisfied at the end of this course as i was able to code models easily using pytorch. Definitely recomended!!


15 мая 2020 г.

This is not a bad course at all. One feedback, however, is making the quizzes longer, and adding difficult questions especially concept-based one in the quiz will be more rewarding and valuable.

Фильтр по:

176–200 из 245 отзывов о курсе Deep Neural Networks with PyTorch

автор: Jian P

10 мая 2020 г.

Good introduction of PyTorch. There are some minor code errors and inconsistencies in the material but generally not difficult to figure it out.

автор: Mehrdad P

24 июня 2020 г.

The courses provides basic knowledge, but I wish that it was a bit more advanced and had more challenging assignments.

автор: Patricio V

31 мая 2020 г.

Some of the courses are quite harsh, but finally come all togheter and there's a light at the end of the tunnel.

автор: Yosi P

15 мая 2021 г.

The course was great! The material and instruction is really nice. But so many typo especially in the quiz.

автор: Yanjie T

5 апр. 2020 г.

the course is good, detailed, and practical, but the shortcoming is the lab quality, need to be imporved

автор: 肖一

19 авг. 2021 г.

It's a basic course of using PyTorch to establish CNN or other type of model,useful but kind of simple.

автор: Pavel S

8 июня 2021 г.

This is a nice course overall, however quizzes are very easy and course content is not 100% accurate.

автор: Vagif M

20 июня 2021 г.

I​ would like to get more difficult Quizez... The Labs are very detailed and understandable.

автор: 何雪凝

21 февр. 2021 г.

Detailed explanation about pytorch! I expect more examples and harder tests and assignments


5 мар. 2021 г.

Course is good but too long and the instructor may want to slow down his narrative.

автор: William

11 февр. 2022 г.

some code were written illegible, a lot of the aftercourse quizes had typos

автор: Nyaniso N

30 июня 2021 г.

very long! very very long long! very very very long long long. Too long!!!

автор: Вадим Н

19 июля 2020 г.

generally, the course is well but tasks too easy for "intermediate" level

автор: Krishna S B

27 дек. 2019 г.

It would have been better if graded programming assignments were there.

автор: Volha H

8 мар. 2021 г.

It's the most difficult course in this specialisation..

автор: Youness E M

21 дек. 2019 г.

There is a number of errors in the courses and in quiz

автор: Bilal G

29 мар. 2020 г.

less one star due to the many errors I noticed in the

автор: anupa s

19 июня 2021 г.

Should have more content which covers with examples

автор: Rahul R

15 февр. 2022 г.

A very good course to get started with pytorch

автор: 003 A P

28 июля 2020 г.

Great Course for beginners in pytorch

автор: harshita b

18 мая 2020 г.

good explanation with examples

автор: Roberto G

12 апр. 2020 г.

very practical, lack of theory

автор: Tj

28 апр. 2021 г.

The questions are too simple.

автор: Lemikhov A

19 февр. 2020 г.

No programming assingments

автор: Utkarsh A

9 мар. 2022 г.

G​ood knowledge.