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

4.4
827 個評分
186 條評論

課程概述

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...

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SY
2020年4月29日

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
2020年5月15日

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 - Deep Neural Networks with PyTorch 的 175 個評論(共 186 個)

創建者 Mohammed A S

2020年5月5日

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

2020年3月8日

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

2020年10月28日

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

2020年6月25日

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

2020年3月8日

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

2020年9月8日

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

創建者 Mutlu O

2020年8月4日

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

創建者 Miroslav T

2020年6月8日

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

創建者 Benhur O J

2020年1月30日

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

創建者 Prateeth N

2020年7月1日

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

創建者 Bhaskar N S

2020年4月4日

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

創建者 Pakawat N

2020年5月5日

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

創建者 Liam A

2021年2月5日

OK for beginners, superficial exercises and quizzes.

創建者 Suman S

2020年5月3日

The course is too heavy to have just one project.

創建者 谭皓博

2020年7月15日

A number of mistakes were found in the course.

創建者 Roger S P M

2020年3月31日

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.

創建者 Ben A

2020年8月5日

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.

創建者 Calvin W Y C

2020年3月11日

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.

創建者 Ozan G

2021年1月20日

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.

創建者 Will G R

2021年2月11日

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

2020年4月2日

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

2020年10月4日

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

2020年3月27日

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

創建者 Octavio L

2020年8月28日

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

創建者 Jack C

2020年3月10日

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