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

4.4
stars
796 ratings
178 reviews

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. Learning Outcomes: After completing this course, learners will be able to: • explain and apply their knowledge of Deep Neural Networks and related machine learning methods • know how to use Python libraries such as PyTorch for Deep Learning applications • build Deep Neural Networks using PyTorch...

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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151 - 175 of 178 Reviews for Deep Neural Networks with PyTorch

By Tony D

Sep 8, 2020

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

By Mutlu O

Aug 4, 2020

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

By Miroslav T

Jun 8, 2020

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

By Benhur O J

Jan 30, 2020

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

By Prateeth N

Jul 1, 2020

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

By Bhaskar N S

Apr 4, 2020

Found it very difficult to follow some of the content and assignments

By Pakawat N

May 5, 2020

There are a lot of mistakes in the slides and video but no updates

By Suman S

May 3, 2020

The course is too heavy to have just one project.

By 谭皓博

Jul 15, 2020

A number of mistakes were found in the course.

By Roger S P M

Mar 31, 2020

The course material contains some really fantastic information, graphics, and programming assignments. However, the presentation of this material is absolutely terrible! It seems they intentionally tried to make the presentations as boring as possible. The lectures are monotone, the 15 second opening scene is annoying, and the content focuses 70% on the concepts of Deep Learning (which is fine) and 30% on PyTorch. So when you finish you do not feel very skilled with PyTorch.

Finally, ALL of the student complain that the programming environment is very often offline. You cannot do many of the assignments because the "Cognitive Classroom" is usually not working. However, the last lecture f each week contains the Jupyter notebooks for the assignments. You can download and then run them in some other environment like Google Colaboratory or IBM Watson Cloud. Also, most of the programs contain a programming omission that the students have to fix every time. The instructors have not fixed the problem which has been reported to them. So pay attention for the "Pillow Error" in Week 3 because you will be fixing it yourself in most assignments for the next 4 weeks.

By Ben A

Aug 5, 2020

Awful quality content that fails to teach or test you properly.

The videos are exceptionally poor using a text-to-speech narrator that makes you want to quit after only one video. Additionally, the quizzes are buggy with awful wording, typos, invisible options, and useless content. The biggest shame is that they don't use notebooks to test your learning with real examples that would reinforce both the theory & practical elements.

This course has no effort put into it & is clearly a money grab. Avoid this and instead try a deeplearning.ai or fast.ai course.

By Calvin W Y C

Mar 11, 2020

The general content of the course is good. However, I was experiencing a lot of problem accessing the lab platform. Also, there are typos and grammatical mistake everywhere in the quizzes. The audio of the video are done using computer generate voice over, instead of a real person speaking. I think the instructor of the course doesn't speak fluent English, which is understandable why computer voice over is used instead, but the non-stopping speech makes me a bit hard to concentrate sometimes.

By Ozan G

Jan 20, 2021

I hated the robotic sound in all of the lecture recordings. It made it impossible to stay focused. The homework was ridiculously easy (including the Honors assignment). In most of the quizzes, anyone from the street could answer correctly just by reading. The lab environment on the IBM cloud was really slow towards the end for training DNNs. I had to skip most of the labs before they finished executing.

By Iain G

Apr 2, 2020

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

By Alex D

Oct 4, 2020

Very technical and math-oriented. Even after completing it, I have no idea how to apply it to the real world. Seems everything is read using a computer voice.

By Victor B

Mar 27, 2020

I found the course instruction is confusing, sequential and class module should be in different video parts

By Octavio L

Aug 28, 2020

Me resultó un tanto tedioso y demasiado largo. Se solapa con contenidos de otros cursos del certificado

By jack c

Mar 10, 2020

The external tool did not work. I believe there were some maintenance issues. Not good enough.

By Alessandra B

May 9, 2020

Not engaging. Had problems opening the notebooks at the beginning of the course

By sylvain g

Mar 19, 2020

A lot of mistake in the materials.And some labs exercise were unreachable.

By Hüseyin D K

Dec 27, 2020

Very short videos. Speaking so fast. It's like presenting not education.

By Dennis T

Oct 31, 2020

not indepth enough explaination

By Ulrich S

Dec 7, 2020

The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.

At least, it seems one is able to learn some basic notion of PyTorch,

By Alistair K

Jun 11, 2020

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

By Mohammad M A

May 3, 2020

this has been the worst course I have ever seen... the guy is not able to explain as it seems the audience of his course are mathematicians... he makes explanations by showing things and saying numbers but without explaining the principles behind it...