Back to Introduction to Neural Networks and PyTorch

Learner Reviews & Feedback for Introduction to Neural Networks and PyTorch by IBM

4.4

stars

1,901 ratings

About the Course

LinkedIn ranked AI Engineer as the fastest-growing job title in the United States, with postings rising 143% year-over-year. This IBM course builds the foundational PyTorch skills you need to launch that career path—starting with tensors and progressing to fully trained classification models. You will master tensor operations, build custom datasets, and implement linear regression models using PyTorch's nn.Module and autograd system. Then, you will progress through gradient descent, stochastic and mini-batch training, loss functions, and training/validation workflows. Further, you will build logistic regression classifiers, apply cross-entropy loss, and implement advanced optimization and regularization techniques. Through interactive labs, instructional videos, and an AI-assisted dialogue, you will practice building, training, and evaluating models using real PyTorch code patterns. By the end, you will create a portfolio-ready project that demonstrates your ability to perform PyTorch classification and gradient-based optimization tasks. Enroll now to build a project you can confidently showcase and stand out in the AI-driven job market....

Top reviews

Jul 13, 2020

Excellent Course. I love the way the course was presented. There were a lot of practical and visual examples explaining each module. It is highly recommended!

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!!

Filter by:

401 - 418 of 418 Reviews for Introduction to Neural Networks and PyTorch

By Ammar E

•

Jan 19, 2024

was very rushed and not informative enough

By Dennis T

•

Nov 1, 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 29, 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 13, 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 Sorin C

•

Oct 16, 2024

Labs not loading into any browser I've tried. No support to solve the issue. Mobile app doesn't support the labs either.

By Xihan L

•

Aug 3, 2022

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

By Walter B

•

Jun 21, 2021

The agenda is good but it is not well explained.

By Rohit

•

Mar 31, 2026

i am not able to download the certificate

By Oguzhan O

•

Apr 21, 2025

it doesnt give me the certificate

By Siegfried K

•

Aug 28, 2024

Many repetitions, monotonous

By yang z

•

Jun 13, 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 23, 2021

Sucks!!