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

4.4

stars

1,843 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

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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376 - 400 of 401 Reviews for Introduction to Neural Networks and PyTorch

By Iain G

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Apr 2, 2020

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

By Moritz A

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Jun 13, 2022

When doing IBM AI Engineering Course, I will hear content twice here. Explanations could be better. No graded Assignment. Only Quizes with 2-3 question with 2-3 choices.

By Victor B

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Mar 27, 2020

I found the course instruction is confusing, sequential and class module should be in different video parts

By Husam A

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Mar 21, 2024

Some of the content is not well organized, most of the courses are labs, and they are outdated.

By Jack C

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Mar 10, 2020

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

By Nicolas B

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Oct 20, 2021

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

By Alessandra B

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May 9, 2020

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

By sylvain g

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Mar 19, 2020

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

By Karthik R

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Apr 9, 2021

Quite a few errors and lacking flow in the explanations.

By Ammar E

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Jan 18, 2024

was very rushed and not informative enough

By Dennis T

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Oct 31, 2020

not indepth enough explaination

By Sharad J

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Nov 29, 2021

Very high level.

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.