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

4.4
stars
1,803 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

SY

Apr 30, 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 16, 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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326 - 350 of 397 Reviews for Introduction to Neural Networks and PyTorch

By Rajaseharan R

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Nov 1, 2021

The presenter at times goes too fast and once he's finished talking the slide moves forward before there is time to absorb the material. The slides also contain errors. Should be more throughly reviewed. The labs also contain some bugs. The quizes contain some spelling mistakes and some of the quiz questions are unclear.

By Yukihiro F

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Jul 25, 2024

I have just one thing to say: there is too much packed into a single course. Astonishingly, this course includes 44 notebooks, each of considerable length. I believe it would be more appropriate to split this single course into three or four courses and organize them as a single specialization.

By Stephan W

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Feb 6, 2021

Potentially a good course, but due to the very short videos and complete lack of supporting material (not even the slides of the videos), it's hard to follow. You need to watch the videos over and over again and take notes. Not sure why not even the lecture slides are provided.

By Kourosh S

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Jun 20, 2024

The videos were informative, the Jupyter notebooks were also fine, however, when it came to using Watson Studio, there were way too many problems to deal with. Perhaps a more user-friendly approach for the final project/assessment would have been better.

By Julius W

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Mar 14, 2022

Very theoretical course. You can claim the badge without running any code. The additional honours course consisted of a total of 3 lines of code you had to write. I did not really enjoy this course. It covered a lot of things but was as dry as possible.

By Ahssad

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Aug 11, 2021

It is very fast paced. There are a lot of videos and not enough opportunities to actually reinforce what you have learned in terms of shorts projects. I think at the end of each week, there should be a small project in order to progress.

By Chaney O

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Jun 2, 2020

The lectures and quizzes are too short to provide much value. The material could be better condensed. The labs were useful, although at times, it felt like the same material from a prior video. In general, it was a good overview.

By Sabrina S

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Mar 9, 2020

Ok walkthrought of pytorch, a lot of content but slight mismatch between rather basic DS topics and advanced programming skills. Materials need to be reviewed for spelling and grammar, some quiz questions are unclear.

By Foivos C V

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Oct 22, 2024

Overall a good introduction to Pytorch and machine learning. But, some of the questions in the assignments have the wrong answers and/or are worded in a confusing way (can be interpreted in different ways).

By Yi M L

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Oct 28, 2020

the content is definitely overloaded.. i am blowing.. felt like i went to college again. if cut some of the content it will be much more user friendly to learn.. for an online class prespective

By Nikhil D

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Nov 7, 2024

The topics selected for the course are good, but the implementation is far from perfect. The quizzes seem to be generated by some machine learning algorithm. Expected better from IBM.

By César A C

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Jun 25, 2020

The course is quite complete, but it contains to many things already contained in the previous courses within the Specialization. The final honor part could have been much better.

By coursera s

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Feb 2, 2024

The later labs had little or no practice exercises. The typos/mistakes in the materials were a distraction. It was disappointing to not have a fine tuning lab in the last week.

By Ferdinando R

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Jan 20, 2023

Ok to show you how to use pytorch, but to learn ML you should really take the famous course everyone is talking about, it's much better.

By Massimo B

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Feb 23, 2022

quality of slides is quite bad and exercises are just a repetition of the class. Nevertheless the basic concepts are explained clearly

By William J

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Aug 22, 2022

good material but you should polish the voiceover and check for spelling/formatting mistakes - of which there are many

By Manuel H d l R

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Apr 26, 2024

I got trouble with some exercises, also there are some grammar errors and the explanation in some videos are not good

By Tony D

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Sep 8, 2020

Very slow and redundant material with previous courses of the "IBM AI Engineering Certificat Professionnel"

By Mutlu O

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Aug 4, 2020

More useful exmples in labs would be helpful to understand the possibilities with the method and tool

By Miroslav T

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Jun 8, 2020

quality of videos at the beginning of course are low, fells like the machine is reading it

By Benhur O J

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Jan 30, 2020

To focus in the coding but not the underlying structure of the library and how to use it.

By Chris R

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Jul 23, 2022

There should be slides available for downoad.

The pace of the course was too fast.

By Stephen L

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Jun 1, 2023

The start is good, but in the last 2 week, many things are not clearly explained

By Prateeth N

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Jul 1, 2020

Very Basic course. Would have enjoyed more interesting examples in the notebooks