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

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499 Bewertungen
104 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

Apr 30, 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

May 16, 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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26 - 50 von 105 Bewertungen für Deep Neural Networks with PyTorch

von Wanderson G d S

Mar 08, 2020

The course is very complete and the instructor demonstrates a lot of knowledge on the subject.

von Jessiedee M G

Apr 13, 2020

The contents are not that hard and best suited as introduction level in deep learning.

von Adolfo C Y

Apr 16, 2020

State of the art Course

I was expecting a more challenging project, 5 stars content

von RuoxinLi

Dec 09, 2019

Very Clear explanation and rich labs. The quiz can be more challenging

von Mevan E

Apr 28, 2020

Well prepared course. I got a full overview of working with PyTorch.

von Alexis b

Mar 28, 2020

Well prepared and interesting content taught with a clear voice !

von Mohammed A

May 01, 2020

I really enjoyed the course for its diversity and practicality

von Evgeniya O

May 04, 2020

A very nice course with clear explanations and good examples.

von Han-June K

Mar 06, 2020

Excellent lecture! I appreciate your great work! Thank you!

von Stefan W

Jan 26, 2020

Great course with in depth material & hands-on learning.

von Mateus T N

Apr 25, 2020

Good introductory course! Lots of exercises and samples

von Mohamed O A T

Mar 15, 2020

Highly recommended course for students

von Vittorino M

Dec 09, 2019

Aprendí muchísimo. Gracias.

von Pavan D

Nov 19, 2019

very intuitive and in depth

von Farrukh N A

Dec 09, 2019

Best course on AI

von ThanhTung

Dec 25, 2019

very helpful

von Miele W

Feb 16, 2020

Well, as there are no sort of exams or real questions to answer in order to pass, it strictly depends on how much attention you put in following this course. IMHO if well studied, it gives you a solid foundation, in order to let you explore the pytorch module.

von Eric

Jan 20, 2020

Good, thorough course. Does not hold the student to any kind of standard or accountability and quizzes are ridiculously easy to pass.

von Pietro D

Jan 03, 2020

The course is interesting and well organized but the quiz are not challenging and full of typos.

von Paranjape A J

Feb 13, 2020

More graded coding assignments would have been better, but content is good!

von Marcin L

May 01, 2020

Practice sessions are organized in a tool that doesn't have enough computing power for training neural networks. The networks often take hours to train and you have to constantly monitor them because if you don't, the tool will automatically sign you out and you will lose your results.

I also don't like the mechanistic reading style (sounds like a bot reading), lack of human interaction doesn't seem to work for lectures.

von Konstantin S

Feb 24, 2020

Poorly prepared materials, awful quiz modules, lots of mistakes

von Oussama B

Feb 27, 2020

Bad !!!!! Many mistakes, questions too easy !!! I am really disapointed

von sada n

Jan 10, 2020

it is too deep

von Ankush K

Apr 30, 2020

Very good course only , complete the practical assignments they are important.

As for exam the question answers should be based on practical outputs, say make a model for

this dataset or so. Paste the result for the score.