Chevron Left
返回到 Deep Neural Networks with PyTorch

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

1,103 個評分
246 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.


226 - Deep Neural Networks with PyTorch 的 247 個評論(共 247 個)

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 Yuping Y


It is basically learning by copying code

創建者 Tanmay G


G​ood course

創建者 Dan P


This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

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 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.

創建者 Walter c


The agenda is good but it is not well explained.

創建者 Javier J M