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Kursteilnehmer-Bewertung und -Feedback für Deep Neural Networks with PyTorch von IBM

4.4
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829 Bewertungen
186 Bewertungen

Über den Kurs

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...

Top-Bewertungen

SY
29. Apr. 2020

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
15. Mai 2020

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.

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176 - 187 von 187 Bewertungen für Deep Neural Networks with PyTorch

von Jack C

10. März 2020

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

von Alessandra B

9. Mai 2020

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

von sylvain g

19. März 2020

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

von Hüseyin D K

27. Dez. 2020

Very short videos. Speaking so fast. It's like presenting not education.

von Dennis T

31. Okt. 2020

not indepth enough explaination

von Ulrich S

7. Dez. 2020

The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.

At least, it seems one is able to learn some basic notion of PyTorch,

von Alistair K

11. Juni 2020

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

von Mohammad M A

3. Mai 2020

this has been the worst course I have ever seen... the guy is not able to explain as it seems the audience of his course are mathematicians... he makes explanations by showing things and saying numbers but without explaining the principles behind it...

von Łukasz C

18. März 2020

Overall good course and labs. But labs are so unstable, that it makes this course useless. Out of 4 weeks labs were not accesible for more than a week. Not recommended

von Kartik S

26. Okt. 2020

the explanation is not in detail. Course Structure is confusing as well. Sometimes the concepts taught are not entirely correct. Overall not a good experience.

von Pratik B

12. Apr. 2020

Sorry to say, but I really had some high hopes from this course, but this course is not meant to be a part of any specialization.

von Javier J M

22. Feb. 2021

Sucks!!