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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

DD

Jul 12, 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!

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!!

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201 - 225 of 418 Reviews for Introduction to Neural Networks and PyTorch

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 Corey E

Mar 12, 2025

The content was thorough and great, there was good variety to the data sets! I really enjoyed this course.

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 Roiman V

May 13, 2025

Excelente contenido y pedagogía. Mil felicitaciones a los creadores por su esfuerzo.

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.

By HUANCA Z C

Nov 25, 2025

It covers all the fundamentals equations and theory behind each function

By Hoài T D

May 22, 2024

The course content is presented scientifically and easily to understand

By Theophile T

Feb 25, 2021

It was my first experience programming in PyTorch and I was amazed.

By Hein H A

Jun 19, 2024

nice course and it truly help me to materialize my interests in DL

By Stavros L

Jan 4, 2023

Excellent step-by-step approach with solid python coding examples.

By Shihab A

Dec 14, 2023

Great comprehensive course covering both theory and application.

By Sourabh K

Jun 26, 2021

One of the best course in the IBM AI Engineer Specialization !

By DURGESH M N

Mar 2, 2025

Excellent introductory course on Pytorch and Neural Networks

By Usman A

Jan 16, 2024

Highly Recomended! The best course for learning pytorch.

By Andres H

Mar 20, 2024

Muy bueno, pero requiere conocimiento matematico alto

By amonnut t

Apr 3, 2023

highly recommended, very well-structured and hands-on

By ASHISH K P 2

Feb 3, 2023

yeah, it was good experiance thank you coursera team

By mehran k

Nov 14, 2023

I just can say, my sincere thanks goes to your team

By chibuike j

Aug 6, 2023

challanging, but helps alot. So much were explained