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

4.4

stars

1,740 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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276 - 300 of 377 Reviews for Introduction to Neural Networks and PyTorch

By Vincent H

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Mar 5, 2021

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

By Marc C

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Sep 22, 2023

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

By Will

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Feb 11, 2022

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

By Nyaniso N

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Jun 30, 2021

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

By Вадим Н

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Jul 19, 2020

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

By Krishna S B

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Dec 27, 2019

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

By Abdalla E

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Feb 14, 2024

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

By Hani n s

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Oct 18, 2022

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

By Hristo T

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Apr 9, 2024

Quite a few English mistakes and poor formatting in the labs

By Volha H

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Mar 8, 2021

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

By kiran k

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May 18, 2022

Few mistakes of words as an artificial voice was used.

By Youness E M

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Dec 21, 2019

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

By Adil G

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Feb 6, 2023

Very useful, although assignations are a little easy

By Bilal G

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Mar 29, 2020

less one star due to the many errors I noticed in the

By Sanju A

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Jun 19, 2021

Should have more content which covers with examples

By Naufal p

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Aug 22, 2024

I think the final asg should be more challenging

By Torben G

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Jan 10, 2024

Somebody please use a spell-checker on this ...

By Rahul R A

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Feb 15, 2022

A very good course to get started with pytorch

By 003 A P

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Jul 28, 2020

Great Course for beginners in pytorch

By Giacomo B

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Jul 21, 2023

some bugs on content and windows

By harshita b

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May 18, 2020

good explanation with examples

By Roberto G

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Apr 12, 2020

very practical, lack of theory

By Tj

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Apr 28, 2021

The questions are too simple.

By Kangwon L

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Apr 16, 2024

I could learn about PyTorch

By Lemikhov A

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Feb 19, 2020

No programming assingments