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

789 個評分
174 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.


126 - Deep Neural Networks with PyTorch 的 150 個評論(共 174 個)

創建者 Mehrdad P


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

創建者 Patricio V


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

創建者 Yanjie T


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

創建者 Вадим Н


generally, the course is well but tasks too easy for "intermediate" level

創建者 Krishna S B


It would have been better if graded programming assignments were there.

創建者 Youness E M


There is a number of errors in the courses and in quiz

創建者 Bilal G


less one star due to the many errors I noticed in the

創建者 H. A P


Great Course for beginners in pytorch

創建者 harshita b


good explanation with examples

創建者 Roberto G


very practical, lack of theory

創建者 Lemikhov A


No programming assingments

創建者 Mohd N K


very practical

創建者 Richard B



創建者 Michael H


This course was not to the same standard as some others I've taken on Coursera. I think the concepts would have been very hard to follow if I hadn't already taken the Deep Learning specialization, so it isn't a great conceptual introduction to Deep Learning. That said, it also doesn't deeply explore the nuances of the PyTorch library, or give very much guidance on best practices or how it differs from other popular frameworks like Keras/TensorFlow. The quiz questions are fairly shallow (and often frustratingly ambiguous). Probably the best part of the class are the ungraded lab assignments.

創建者 Simon P


The awful text-to-speech voice in the videos and the "We do this.... we do this... we do this..." information dump is poor from a didactic point of view.

The redeeming feature of the course are the labs, but like many of these little courses there's little encouragement to play around with the code.

創建者 Olivier C


Useful if you are already comfortable with deep learning and you want to learn how to use the (great) pytorch package. If you want to learn about deep learning from scratch, the explanations are not very intuitive and skip over some very interesting features.

創建者 Chaney O


The lectures and quizzes are too short to provide much value. The material could be better condensed. The labs were useful, although at times, it felt like the same material from a prior video. In general, it was a good overview.

創建者 Mohammed A S


This course provides a good amount of knowledge of PyTorch. However, the explanation and presentation are really bad. The monotonous voice and the quick changing of slides forces learners to watch the videos again and again.

創建者 Sabrina S


Ok walkthrought of pytorch, a lot of content but slight mismatch between rather basic DS topics and advanced programming skills. Materials need to be reviewed for spelling and grammar, some quiz questions are unclear.

創建者 Yi M L


the content is definitely overloaded.. i am blowing.. felt like i went to college again. if cut some of the content it will be much more user friendly to learn.. for an online class prespective

創建者 César A C


The course is quite complete, but it contains to many things already contained in the previous courses within the Specialization. The final honor part could have been much better.

創建者 Geir D


Presenter is a synthesized computer voice. Slides and exercises are full of spelling errors. Contents is OK, but presentation is not very inspiring.

創建者 Tony D


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

創建者 Mutlu O


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

創建者 Miroslav T


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