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

4.4
stars
1,561 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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226 - 250 of 342 Reviews for Deep Neural Networks with PyTorch

By Josephine J

Jul 19, 2021

Explanation was confusing as time, and text-to-speech lecturer made it harder to engage. Lots of typos and unintuitive phrasing. However, taught useful skills, and all the resources were there to do own thinking/research and eventually understand everything.

By bob n

Oct 13, 2020

Concepts presented in nice bite size chunks. Labs help reinforce concepts. BUT, felt like course was just a bunch of pieces with little assembly. Kinda like finding a box of LEGOs (r) with nothing to really build from them.

By Kaustubh S

Jul 8, 2021

Good explanation with examples of code in python. The concept of convolution can be elaborated upon further as to it's genesis and how multiple processing techniques such as max pooling impact performance

By Kishan

Jan 22, 2021

Content wise this is very good for beginners, who have basic Numpy, Python, DL understanding. Only issue would be the automated voice of the instructor. That can be changed to make it more human friendly!

By Richard D

Sep 29, 2021

The material is good. I found the assignments a bit too easy. A bit more challenge would be welcome. I found the artificial voice with the lectures to be distracting. The AI isn't quite good enough.

By Edward J

Oct 18, 2020

I learned loads in this course. I'm quite familiar with Keras so it was good to use a different package. The instruction was very clear but LONG. I would have liked the labs to have been more involved.

By Jesus G

Jun 19, 2020

A nice landing on Pytorch and basic Deep Learning concepts. I liked the collection of code and practical examples. If only, I missed having more difficult practical assignments along the course.

By Adam F

Dec 2, 2022

Excellent course, works its way through basics to fully fledged machine learning models at a good pace. A few of the examples used in the lab code throw errors, these should be rectified

By André M

Dec 14, 2020

Course material is great, although it has some errors, as on the video slides as in the notebooks. This should be rectified. Also, the assessments and quizzes should definitely be harder.

By Mohankumardash

Jun 2, 2023

Pros: The course is extremely well structured. The presentations are very informative and clear also well explained.

Cons: The assignments and quizzes are not challenging at all

By Deleted A

Sep 20, 2020

Good to dive into Deep Learning and get some PyTorch basics. However, there're sometimes mistakes in the assignments. Also, the explanations can sometimes be a bit confusing.

By Ujjwal J

Nov 3, 2020

Amazing course for a beginner in Deep Learning & Pytorch.

I gave 4 stars as I expected it to be more pytorch heavy.

Overall, a really good crafted course.

By TJ G

Jan 11, 2020

Very intensive course. Could do more training labs. But this is definitely a very dense course. Extremely helpful to get started on ML/Deep Learning.

By Jack P

May 10, 2020

Good introduction of PyTorch. There are some minor code errors and inconsistencies in the material but generally not difficult to figure it out.

By Hu J

Feb 27, 2023

Good PyTorch training course with clear structure and content in general, except that there are some small bugs in the labs.

By Mehrdad P

Jun 24, 2020

The courses provides basic knowledge, but I wish that it was a bit more advanced and had more challenging assignments.

By Paul W

Dec 17, 2023

Good course. Quite a few typos, videos too fast, and needed to fix some labs to get them to run hence only 4 stars.

By Patricio V

May 31, 2020

Some of the courses are quite harsh, but finally come all togheter and there's a light at the end of the tunnel.

By Yosi P

May 15, 2021

The course was great! The material and instruction is really nice. But so many typo especially in the quiz.

By Yanjie T

Apr 5, 2020

the course is good, detailed, and practical, but the shortcoming is the lab quality, need to be imporved

By 肖一

Aug 19, 2021

It's a basic course of using PyTorch to establish CNN or other type of model,useful but kind of simple.

By Pavel S

Jun 8, 2021

This is a nice course overall, however quizzes are very easy and course content is not 100% accurate.

By N R

May 30, 2023

Some explanations were very in detail but other examples went very fast, esp. the practice.

By Vagif M

Jun 20, 2021

I would like to get more difficult Quizez... The Labs are very detailed and understandable.

By 何雪凝

Feb 21, 2021

Detailed explanation about pytorch! I expect more examples and harder tests and assignments