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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 Habilidades en redes de IBM

4.4
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1,170 calificaciones

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

SY

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!!

RA

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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251 - 259 de 259 revisiones para Deep Neural Networks with PyTorch

por Dennis T

31 de oct. de 2020

not indepth enough explaination

por Sharad J

29 de nov. de 2021

Very high level.

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.

por Xihan L

2 de ago. de 2022

There are many typos in the quiz; the lab loads slowly.

por Walter c

20 de jun. de 2021

The agenda is good but it is not well explained.

por Javier J M

22 de feb. de 2021

Sucks!!