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學生對 IBM 提供的 Deep Neural Networks with PyTorch 的評價和反饋

1,020 個評分
226 條評論


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...



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!!


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.


201 - Deep Neural Networks with PyTorch 的 225 個評論(共 227 個)

創建者 Miroslav T


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

創建者 Benhur O


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

創建者 Prateeth N


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

創建者 Bhaskar N S


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

創建者 Pakawat N


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

創建者 Liam A


OK for beginners, superficial exercises and quizzes.

創建者 Suman S


The course is too heavy to have just one project.

創建者 谭皓博


A number of mistakes were found in the course.

創建者 Will G R


Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

創建者 Iain G


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.

創建者 Alex D


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.

創建者 Victor B


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

創建者 Jack C


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

創建者 Nicolas B


T​he course contents are not very interesting, and the quizzes are way too easy.

創建者 Alessandra B


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

創建者 sylvain g


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

創建者 Karthik R


Quite a few errors and lacking flow in the explanations.

創建者 Dennis T


not indepth enough explaination

創建者 Sharad J


Very high level.

創建者 Ulrich S


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,

創建者 Alistair K


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.

創建者 Muzamal A


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...

創建者 Łukasz C


Overall good course and labs. But labs are so unstable, that it makes this course useless. Out of 4 weeks labs were not accesible for more than a week. Not recommended

創建者 Kartik S


the explanation is not in detail. Course Structure is confusing as well. Sometimes the concepts taught are not entirely correct. Overall not a good experience.

創建者 Pratik B


Sorry to say, but I really had some high hopes from this course, but this course is not meant to be a part of any specialization.