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

4.4
stars
1,738 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 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!!

RA

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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176 - 200 of 377 Reviews for Introduction to Neural Networks and PyTorch

By Octavio L

Aug 28, 2020

Me resultó un tanto tedioso y demasiado largo. Se solapa con contenidos de otros cursos del certificado

By Hüseyin D K

Dec 27, 2020

Very short videos. Speaking so fast. It's like presenting not education.

By Alistair K

Jun 11, 2020

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

By Timur U

Mar 29, 2020

Too many complicated theoretical materials and unclear practical instructions. I have lost motivation for this course.

By sada n

Jan 10, 2020

it is too deep

By Alan Y K

Mar 28, 2024

The course is excellent, it really explain the essentials of what is taught. There are no shortcuts, so if you want to expand your knowledge in the area this is a GREAT base. Since there are, really, no shortcuts or over-simplifications, some topics (given the nature of the area) are going to be hard to interiorize, but there are no other ways (IMHO). I really like the short duration and dynamic of the videos, since only goes for the relevant information and you're free to pause and make your research for the terms you don't get. Highly recommendable for those who are confortable with some level of math notation and a minimum of python (or related); if you are at 0, i think it might be a challenge, but a good and well-directed one. I think quizes could be better, but if you are autodidactic it shan't make the difference.

By Ilayaperumal K

Jan 30, 2023

Everything depends on AI & ML now. Before enrolling in Coursera’s IBM AI Engineering Professional Certificate Course, I had zero knowledge about AI & DL. After completing the course, I am able to use these applications properly. It proved to be a total career game-changer.

Coursera has proven to be a wonderful experience. I have taken classes from other organizations, but there’s no comparison to Coursera.

Highly relevant examples were given which made me get a clear idea of the concepts explained. Deeply appreciate Coursera & IBM for designing this course very well.

Kudos to Instructors Dr Joseph Santarcangelo, Ph.D. for providing such a wonderful learning Journey.

By Txomin V

May 2, 2023

I can say without a doubt that I learnt all I know about PyTorch during this course, it is well-contained. The exercises seemed to be up-to-date with the latest best practices. Good job :)

However, I think it could definitively be shorter and to condense the material into 4-weeks max. That depends on one's preferences though...

By Reuven A

Aug 19, 2024

The course is nice, very comprehensive and gives you lot of examples in python so you can practice it after. I didn't get a tool to know what are the parameters I should consider when I build a neural network , and what are the trade-offs, but maybe it's to wide to include in

By PUSHPENDRA S

Jun 16, 2024

I'm very happy to share with a wonderful experience of learning deep neural network with pytorch. I want to thank the entire team of IBM , which provide me a wonderful opportunity for learning advance skill in deep neural network with pytorch. Thank You !!

By Sekou D

Feb 16, 2024

Ce cours pour moi est un cours assez complet pour vous données toutes les briques nécessaires pour construire et comprendre n'importe qu'elle architecture de réseaux de neurones en générale et plus particulièrement avec la technologie PyTorch.

By Ana P O

Aug 30, 2024

The course was quite complete and covered all the needed topics. For every topic there were labs that would explain the content step by step. I wish the tests were more difficult, specially the final project.

By JAMIL A

Jul 9, 2023

A well curated course filled with stuff essentially needed to acquire the knowledge of Deep Neural Networks with PyTorch and encompasses the domain of practical labs as well

By fermionsbosons

Apr 3, 2023

The explanation is clear. The sample exercise is easy to follow. An excellent structure that walks the learner from a beginner to gaining advanced knowledge at the end.

By Waseem A

Nov 12, 2024

Nice course at the intermediate level. The project at the end is when all things taught in the course fall in place plus things that are part of self-learning.

By Abhishek D

Aug 30, 2024

It is very comprehensive and goes into detail of every basic thing in Pytorch. I would argue that this is probably one of the best courses provided by IBM.

By Christian P

Mar 22, 2023

Excellent course, I have never seen so much quality learning material in short span of time, and somehow IBM managed to make it easy to understand.

By Michael L A

Aug 4, 2024

I love this course, I0t was a bit challenging but that is the importan thing, The hardest things are the best things to learn from

By Adam M

Sep 18, 2024

I cant seem to verify my ID so i can get the certificate, but not the courses fault, The course was nice though

By shah r

Sep 7, 2024

well structured and all the necessary topics been explained so nicely. labs are super helpful to clear things

By Andres I C R

Jan 9, 2021

Really good structured with very clear explanation of the math behind the different topics

By Armaghan S

Jun 5, 2023

Really great course, It was easy to go with, quizzes were easy and great concept building

By Tamer K

Jun 4, 2023

Very good introduction to PyTorch and deep learning. The lab notebooks are very helpful

By 2K20\ME\16\Aditya K

Dec 1, 2022

Perfect!

A balanced combination of video explanation, labs and graded assignment.

By Sara A

Mar 24, 2024

Very good course covering both theoretical and practical aspects of deep NNs.