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

4.4

stars

1,614 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

Apr 29, 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!!

May 15, 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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351 - 357 of 357 Reviews for Deep Neural Networks with PyTorch

By Pratik B

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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

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Aug 2, 2022

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

By Walter C

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Jun 20, 2021

The agenda is good but it is not well explained.

By yang z

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Jun 12, 2023

need programming lab

By Onder N O

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Dec 10, 2022

too simple

By Joseph W

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Mar 1, 2023

not good

By Javier J M

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Feb 22, 2021

Sucks!!