Chevron Left
Back to Deep Neural Networks with PyTorch

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

1,259 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. 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 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.

Filter by:

251 - 274 of 274 Reviews for Deep Neural Networks with PyTorch

By Tanmay G

Feb 20, 2022

By Qihan L

Aug 24, 2022

By Johannes D

Jun 10, 2022

By Dan P

May 13, 2022

By Will G R

Feb 11, 2021

By Iain G

Apr 2, 2020

By Moritz A

Jun 13, 2022

By Alex D

Oct 4, 2020

By Victor B

Mar 27, 2020

By Jack C

Mar 10, 2020

By Nicolas B

Oct 20, 2021

By Alessandra B

May 9, 2020

By sylvain g

Mar 19, 2020

By Karthik R

Apr 9, 2021

By Dennis T

Oct 31, 2020

By Sharad J

Nov 29, 2021

By Muzamal A

May 3, 2020

By J Z

Nov 28, 2022

By Łukasz C

Mar 18, 2020

By Kartik S

Oct 26, 2020

By Pratik B

Apr 12, 2020

By Xihan L

Aug 2, 2022

By Walter c

Jun 20, 2021

By Javier J M

Feb 22, 2021