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

4.4
stars
1,778 ratings

About the Course

PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this course, you’ll learn about 2-D Tensors and derivatives in PyTorch. You’ll look at linear regression prediction and training and calculate loss using PyTorch. You’ll explore batch processing techniques for efficient model training, model parameters, calculating cost, and performing gradient descent in PyTorch. Plus, you’ll look at linear classifiers and logistic regression. Throughout, you’ll apply your new skills in hands-on labs, and at the end, you’ll complete a project you can talk about in interviews. If you’re an aspiring AI engineer with basic knowledge of Python and mathematical concepts, who wants to get hands-on with PyTorch, enroll today and get set to power your AI career forward!...

Top reviews

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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376 - 388 of 388 Reviews for Introduction to Neural Networks and PyTorch

By Muzamal A

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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

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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

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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

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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

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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 Sorin C

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Oct 15, 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

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Aug 3, 2022

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

By Walter B

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Jun 21, 2021

The agenda is good but it is not well explained.

By Siegfried K

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Aug 28, 2024

Many repetitions, monotonous

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 23, 2021

Sucks!!