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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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301 - 325 of 418 Reviews for Introduction to Neural Networks and PyTorch

By Mehrdad P

Jun 24, 2020

The courses provides basic knowledge, but I wish that it was a bit more advanced and had more challenging assignments.

By Paul W

Dec 17, 2023

Good course. Quite a few typos, videos too fast, and needed to fix some labs to get them to run hence only 4 stars.

By Patricio V

May 31, 2020

Some of the courses are quite harsh, but finally come all togheter and there's a light at the end of the tunnel.

By Diogo C

Aug 2, 2025

Drops a lot of difficult concepts very fast. Should have a slower pace with for e better learning experience.

By Yosi P

May 15, 2021

The course was great! The material and instruction is really nice. But so many typo especially in the quiz.

By Yanjie T

Apr 5, 2020

the course is good, detailed, and practical, but the shortcoming is the lab quality, need to be imporved

By 肖一

Aug 19, 2021

It's a basic course of using PyTorch to establish CNN or other type of model,useful but kind of simple.

By Pavel S

Jun 8, 2021

This is a nice course overall, however quizzes are very easy and course content is not 100% accurate.

By N R

May 30, 2023

Some explanations were very in detail but other examples went very fast, esp. the practice.

By Vagif M

Jun 20, 2021

I would like to get more difficult Quizez... The Labs are very detailed and understandable.

By 何雪凝

Feb 21, 2021

Detailed explanation about pytorch! I expect more examples and harder tests and assignments

By Vincent H

Mar 5, 2021

Course is good but too long and the instructor may want to slow down his narrative.

By Marc C

Sep 22, 2023

Great. Would be perfect if there were more exercises to write code from scratch

By Will

Feb 11, 2022

some code were written illegible, a lot of the aftercourse quizes had typos

By Nyaniso N

Jun 30, 2021

very long! very very long long! very very very long long long. Too long!!!

By Вадим Н

Jul 19, 2020

generally, the course is well but tasks too easy for "intermediate" level

By Krishna S B

Dec 27, 2019

It would have been better if graded programming assignments were there.

By Abdalla E

Feb 14, 2024

need to be more friendly to learner (colorful more - new examples).

By Hani N

Oct 18, 2022

This was a great course and it covers a diverse set of subjects.

By Jonas H

Mar 7, 2025

Pretty good overview of how to apply PyTorch to real problems

By Hristo T

Apr 9, 2024

Quite a few English mistakes and poor formatting in the labs

By Volha H

Mar 8, 2021

It's the most difficult course in this specialisation..

By kiran k

May 18, 2022

Few mistakes of words as an artificial voice was used.

By Youness E M

Dec 21, 2019

There is a number of errors in the courses and in quiz

By Adil G

Feb 6, 2023

Very useful, although assignations are a little easy