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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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26 - 50 of 418 Reviews for Introduction to Neural Networks and PyTorch

By Gopal I

Apr 10, 2022

One of the worst courses on coursera. A very complex subject is treated in an off-hand manner. Course instructions have not been updated since 2019. Labs are different from instructions. There is no lab to opne in Week 7 - I wanted the honors content.

The Watson instructions are completely outdated.

There are so many spelling errors in the quizes including misspelling simple works like "does" - looks like no one checked these materials ever.

By Ankush K

Apr 29, 2020

Very good course only , complete the practical assignments they are important.

As for exam the question answers should be based on practical outputs, say make a model for

this dataset or so. Paste the result for the score.

By karishma d

Jul 21, 2020

The right level of detail so that you can dive in.

I wish there had been a week to cover RNNs as well though, in particular the best way to handle variable length sequences for RNNs :)

By Surya P S e

Jul 27, 2020

Wonderful course!!! Best among all the courses under AI Engineer Certificate by IBM. Deep learning always haunted me with the maths involved but now I get a very good start with this.

By Daniel J B O

May 26, 2020

Very complete and challenging course for intermediate level in the creation and applications of neural networks

By Theo G

May 16, 2020

Great course packed with loads of learning. The labs helped reinforce the content of the videos. Thanks!

By Giorgio G

Jun 4, 2020

Great course material and explanations, so far the best of the IBM specialization.

Great job Joseph!!

By Yee S N

Apr 21, 2020

Great class! Easy to follow, teaches all important concepts for using convolutional neural network.

By Prasad C

May 22, 2020

Not to easy , not too shallow, a perfectly comprehensive course with catholic aspects covered.

By Wanderson S

Mar 7, 2020

The course is very complete and the instructor demonstrates a lot of knowledge on the subject.

By Jessiedee M G

Apr 13, 2020

The contents are not that hard and best suited as introduction level in deep learning.

By Adolfo C Y

Apr 15, 2020

State of the art Course

I was expecting a more challenging project, 5 stars content

By Patrick O

May 31, 2020

Excellent course! Highly recommend to anyone wanting to learn PyTorch.

By RuoxinLi

Dec 8, 2019

Very Clear explanation and rich labs. The quiz can be more challenging

By Mevan E

Apr 28, 2020

Well prepared course. I got a full overview of working with PyTorch.

By Alexis b

Mar 28, 2020

Well prepared and interesting content taught with a clear voice !

By Alexander A

May 1, 2020

I really enjoyed the course for its diversity and practicality

By Evgeniya O

May 4, 2020

A very nice course with clear explanations and good examples.

By 김한준

Mar 6, 2020

Excellent lecture! I appreciate your great work! Thank you!

By Stefan W

Jan 26, 2020

Great course with in depth material & hands-on learning.

By Mateus N

Apr 25, 2020

Good introductory course! Lots of exercises and samples

By Mukul K

Mar 20, 2020

Great course for beginners in pytorch

By Gordon R

Mar 30, 2020

Good introduction to pytorch.

By Pavan D

Nov 19, 2019

very intuitive and in depth

By Samira G

May 30, 2020

Outstanding course...