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Learner Reviews & Feedback for Deep Neural Networks with PyTorch by IBM

4.4
stars
1,560 ratings

About the Course

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered....

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 342 Reviews for Deep Neural Networks with PyTorch

By sada n

•

Jan 10, 2020

it is too deep

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 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 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

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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 Christian P

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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 Andres I C R

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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.

By Theophile T

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Feb 25, 2021

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

By Stavros L

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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 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

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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

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Aug 6, 2023

challanging, but helps alot. So much were explained

By Chuan K

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Jun 4, 2023

Great and helpful to understand this field

By P A R

•

Jan 5, 2023

it is the best course that i have taken

By Esam M O

•

Sep 30, 2023

Great course and great instructor