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Deep Neural Networks with PyTorch(으)로 돌아가기

IBM 기술 네트워크의 Deep Neural Networks with PyTorch 학습자 리뷰 및 피드백

4.4
별점
1,161개의 평가

강좌 소개

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...

최상위 리뷰

SY

2020년 4월 29일

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!!

RA

2020년 5월 15일

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.

필터링 기준:

Deep Neural Networks with PyTorch의 258개 리뷰 중 226~250

교육 기관: Mutlu O

2020년 8월 4일

More useful exmples in labs would be helpful to understand the possibilities with the method and tool

교육 기관: Miroslav T

2020년 6월 8일

quality of videos at the beginning of course are low, fells like the machine is reading it

교육 기관: Benhur O

2020년 1월 30일

To focus in the coding but not the underlying structure of the library and how to use it.

교육 기관: Chris R

2022년 7월 23일

There should be slides available for downoad.

The pace of the course was too fast.

교육 기관: Prateeth N

2020년 7월 1일

Very Basic course. Would have enjoyed more interesting examples in the notebooks

교육 기관: Bhaskar N S

2020년 4월 4일

Found it very difficult to follow some of the content and assignments

교육 기관: Pakawat N

2020년 5월 5일

There are a lot of mistakes in the slides and video but no updates

교육 기관: Liam A

2021년 2월 5일

OK for beginners, superficial exercises and quizzes.

교육 기관: Suman S

2020년 5월 3일

The course is too heavy to have just one project.

교육 기관: 谭皓博

2020년 7월 15일

A number of mistakes were found in the course.

교육 기관: Yuping Y

2022년 4월 17일

It is basically learning by copying code

교육 기관: Tanmay G

2022년 2월 20일

G​ood course

교육 기관: Johannes D

2022년 6월 10일

M​ore "Beginner" than "Intermediate"

F​rom the title i expected a course introducing the depthos of PyTorch for (intermediate) Data Scientists. Instead the course is a shallow introduction to feed forward and convolutional neural networks with a little bit of PyTorch. The course targets beginners who want to learn the basics of ANN / CNN models and learn their first deep learning framework. All others should search for another course.

교육 기관: Dan P

2022년 5월 13일

This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. fast.ai would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

교육 기관: Will G R

2021년 2월 11일

Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

교육 기관: Iain G

2020년 4월 2일

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

교육 기관: Moritz A

2022년 6월 13일

When doing IBM AI Engineering Course, I will hear content twice here. Explanations could be better. No graded Assignment. Only Quizes with 2-3 question with 2-3 choices.

교육 기관: Alex D

2020년 10월 4일

Very technical and math-oriented. Even after completing it, I have no idea how to apply it to the real world. Seems everything is read using a computer voice.

교육 기관: Victor B

2020년 3월 27일

I found the course instruction is confusing, sequential and class module should be in different video parts

교육 기관: Jack C

2020년 3월 10일

The external tool did not work. I believe there were some maintenance issues. Not good enough.

교육 기관: Nicolas B

2021년 10월 20일

T​he course contents are not very interesting, and the quizzes are way too easy.

교육 기관: Alessandra B

2020년 5월 9일

Not engaging. Had problems opening the notebooks at the beginning of the course

교육 기관: sylvain g

2020년 3월 19일

A lot of mistake in the materials.And some labs exercise were unreachable.

교육 기관: Karthik R

2021년 4월 9일

Quite a few errors and lacking flow in the explanations.

교육 기관: Dennis T

2020년 10월 31일

not indepth enough explaination