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Kursteilnehmer-Bewertung und -Feedback für Deep Neural Networks with PyTorch von IBM

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102 Bewertungen

Über den Kurs

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...

Top-Bewertungen

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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51 - 75 von 104 Bewertungen für Deep Neural Networks with PyTorch

von Prasad C

May 23, 2020

Not to easy , not too shallow, a perfectly comprehensive course with catholic aspects covered.

von Patrick O

May 31, 2020

Excellent course! Highly recommend to anyone wanting to learn PyTorch.

von Mukul K

Mar 20, 2020

Great course for beginners in pytorch

von Lee Y Y

Feb 09, 2020

Easy-to-follow course for pytorch

von Suan S A C

Apr 08, 2020

I really enjoy this course!!!

von Gordon P R

Mar 31, 2020

Good introduction to pytorch.

von Shreya D

May 02, 2020

very well structured course.

von Irfan S

May 31, 2020

Labs were detailed one.

von Samira G

May 30, 2020

Outstanding course...

von David S

Mar 29, 2020

Fantastic explanation

von Julien V

Jun 03, 2020

Great course !

von Aditya G P

Apr 28, 2020

Awesome course

von Marvin L

Feb 06, 2020

It was Good !!

von Dishit P

Apr 27, 2020

best course

von Branly F L

Apr 09, 2020

Nice..!!

von Krishna H

Apr 28, 2020

Good!

von Marco C

Mar 30, 2020

The course is good and has a nice mixture of theory and practice, which is essential for mastering complex concepts. However, I do have a few observations about the course quality:

- Several of the slides in the presentations and even the labs have a lot of grammar mistakes.

- The theory is often rushed in the lectures. The course would greatly benefit from a more careful analysis of the maths behind each concept.

-In its effort to make the concepts easier to grasp, the lectures keep using coloured boxes to replace mathematical terms. I found that to be more confusing, they use far too many colours and are too liberal with their use.

-Lastly, the labs completely broke down in the second half of the course. My understanding from the course staff is that an upgrade was made on the backend which did not go well and thus caused those issues. They should have several backup plans for those occurrences, starting with having the labs available for download so that the students can do them offline.

Overall I'm happy with the course and would cautiously recommend it, given the above shortcomings.

von Philippe G

Mar 10, 2020

Very interesting course. Gives a good introduction to pytorch. My only concern is the quality of the quizzes: It is often limited to 2 very simple questions. This does not allow you to validate that you had a good understanding of the said topic.

von Luca R

Mar 29, 2020

At the beginning, PyTorch framework seems very hard to understand. At the half of course you begin to have a clear vision of the problems. A negative point is the notebook for every topic. I would suggest one for week with everything inside.

von Theodore G

Jan 11, 2020

Very intensive course. Could do more training labs. But this is definitely a very dense course. Extremely helpful to get started on ML/Deep Learning.

von Jian P

May 10, 2020

Good introduction of PyTorch. There are some minor code errors and inconsistencies in the material but generally not difficult to figure it out.

von 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.

von 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.

von Yanjie T

Apr 05, 2020

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

von Krishna S B

Dec 27, 2019

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