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

4.4
642 個評分
144 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

Apr 30, 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 16, 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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101 - Deep Neural Networks with PyTorch 的 125 個評論(共 146 個)

創建者 Mehrdad P

Jun 24, 2020

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

創建者 Vitalii S

Apr 15, 2020

Pros:

Good intro to PyTorch, great work.

Cons:

1) typos along the course.

2) lab is working too slow - better run locally.

創建者 Patricio V

May 31, 2020

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

Apr 05, 2020

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

創建者 Вадим

Jul 19, 2020

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

創建者 Krishna S B

Dec 27, 2019

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

創建者 Youness E M

Dec 21, 2019

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

創建者 Bilal G

Mar 29, 2020

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

創建者 ASHWINPRASAD H

Jul 29, 2020

Great Course for beginners in pytorch

創建者 harshita b

May 18, 2020

good explanation with examples

創建者 Roberto G

Apr 12, 2020

very practical, lack of theory

創建者 Lemikhov A

Feb 19, 2020

No programming assingments

創建者 Mohd N K

May 14, 2020

very practical

創建者 Richard B

May 17, 2020

Challenging

創建者 Michael H

Jun 21, 2020

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 Olivier C

May 08, 2020

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

Jun 02, 2020

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

May 05, 2020

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

Mar 09, 2020

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 César A C

Jun 25, 2020

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

Mar 08, 2020

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 Mutlu O

Aug 04, 2020

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

創建者 Miroslav T

Jun 08, 2020

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

創建者 Benhur O J

Jan 30, 2020

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

創建者 Prateeth N

Jul 01, 2020

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