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

4.4

stars

1,724 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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201 - 225 of 375 Reviews for Introduction to Neural Networks and PyTorch

By Hoài T D

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May 22, 2024

The course content is presented scientifically and easily to understand

By Theophile T

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Feb 25, 2021

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

By Hein H A

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Jun 19, 2024

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

By Stavros L

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Jan 4, 2023

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

By Shihab A

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Dec 14, 2023

Great comprehensive course covering both theory and application.

By Sourabh K

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Jun 26, 2021

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

By Usman A

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Jan 16, 2024

Highly Recomended! The best course for learning pytorch.

By Andres H

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Mar 20, 2024

Muy bueno, pero requiere conocimiento matematico alto

By amonnut t

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Apr 3, 2023

highly recommended, very well-structured and hands-on

By ASHISH K P 2

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Feb 3, 2023

yeah, it was good experiance thank you coursera team

By mehran k

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Nov 14, 2023

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

By chibuike j

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Aug 6, 2023

challanging, but helps alot. So much were explained

By Jeremie G

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Jun 14, 2024

Good practical overview of what is behind a CNN.

By Chuan K

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Jun 4, 2023

Great and helpful to understand this field

By P A R

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Jan 5, 2023

it is the best course that i have taken

By Leonardo M

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Apr 1, 2024

Excellent for beginners. I recommend.

By Esam M O

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Sep 30, 2023

Great course and great instructor

By Wajeeh U H

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Feb 11, 2024

Had a great learning experience

By Bilal K

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Feb 6, 2023

Excellent course for learning.

By Denise M

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Aug 20, 2024

Useful Pytorch example code

By Harish V

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Apr 20, 2023

Perfect.Nice Explaination

By Pierre R

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May 18, 2023

good overview of pytorch

By Elham S

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Mar 3, 2023

very good. thank you

By Luis G R

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Oct 18, 2024

I really enjoyed it

By Ramiz U H

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Jul 28, 2023

Great experience !