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Volver a Deep Neural Networks with PyTorch

Opiniones y comentarios de aprendices correspondientes a Deep Neural Networks with PyTorch por parte de IBM

1,023 calificaciones
226 reseña

Acerca del Curso

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...

Principales reseñas

29 de abr. de 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!!

15 de may. de 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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201 - 225 de 227 revisiones para Deep Neural Networks with PyTorch

por Miroslav T

8 de jun. de 2020

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

por Benhur O

30 de ene. de 2020

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

por Prateeth N

1 de jul. de 2020

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

por Bhaskar N S

4 de abr. de 2020

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

por Pakawat N

5 de may. de 2020

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

por Liam A

5 de feb. de 2021

OK for beginners, superficial exercises and quizzes.

por Suman S

3 de may. de 2020

The course is too heavy to have just one project.

por 谭皓博

15 de jul. de 2020

A number of mistakes were found in the course.

por Will G R

11 de feb. de 2021

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.

por Iain G

2 de abr. de 2020

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.

por Alex D

4 de oct. de 2020

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.

por Victor B

27 de mar. de 2020

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

por Jack C

10 de mar. de 2020

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

por Nicolas B

20 de oct. de 2021

T​he course contents are not very interesting, and the quizzes are way too easy.

por Alessandra B

9 de may. de 2020

Not engaging. Had problems opening the notebooks at the beginning of the course

por sylvain g

19 de mar. de 2020

A lot of mistake in the materials.And some labs exercise were unreachable.

por Karthik R

9 de abr. de 2021

Quite a few errors and lacking flow in the explanations.

por Dennis T

31 de oct. de 2020

not indepth enough explaination

por Sharad J

29 de nov. de 2021

Very high level.

por Ulrich S

7 de dic. de 2020

The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.

At least, it seems one is able to learn some basic notion of PyTorch,

por Alistair K

11 de jun. de 2020

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

por Muzamal A

3 de may. de 2020

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...

por Łukasz C

18 de mar. de 2020

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

por Kartik S

26 de oct. de 2020

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.

por Pratik B

12 de abr. de 2020

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.