Chevron Left
Back to Deep Neural Networks with PyTorch

Learner Reviews & Feedback for Deep Neural Networks with PyTorch by IBM

4.4
stars
1,683 ratings

About the Course

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....

Top reviews

JA

Invalid date

A well curated course filled with stuff essentially needed to acquire the knowledge of Deep Neural Networks with PyTorch and encompasses the domain of practical labs as well

SE

Invalid date

Wonderful course!!! Best among all the courses under AI Engineer Certificate by IBM. Deep learning always haunted me with the maths involved but now I get a very good start with this.

Filter by:

351 - 370 of 370 Reviews for Deep Neural Networks with PyTorch

By Jack C

Mar 10, 2020

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

By Nicolas B

Oct 20, 2021

The course contents are not very interesting, and the quizzes are way too easy.

By Alessandra B

May 9, 2020

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

By sylvain g

Mar 19, 2020

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

By Karthik R

Apr 9, 2021

Quite a few errors and lacking flow in the explanations.

By Ammar E

Jan 18, 2024

was very rushed and not informative enough

By Dennis T

Oct 31, 2020

not indepth enough explaination

By Sharad J

Nov 29, 2021

Very high level.

By Muzamal A

May 3, 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...

By J Z

Nov 28, 2022

Very poor quality course. Information on the slides is a total mess. The theory is badly presented. There are so many spelling errors. The only thing worth looking at is the jupyter notebooks.

By Łukasz C

Mar 18, 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

By Kartik S

Oct 26, 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.

By Pratik B

Apr 12, 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.

By Xihan L

Aug 2, 2022

There are many typos in the quiz; the lab loads slowly.

By Walter B

Jun 20, 2021

The agenda is good but it is not well explained.

By Siegfried K

Aug 28, 2024

Many repetitions, monotonous

By yang z

Jun 12, 2023

need programming lab

By Onder N O

Dec 10, 2022

too simple

By Joseph W

Mar 1, 2023

not good

By Javier J M

Feb 22, 2021

Sucks!!