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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

4.4
estrellas
965 calificaciones
221 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

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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26 - 50 de 222 revisiones para Deep Neural Networks with PyTorch

por Giorgio G

4 de jun. de 2020

Great course material and explanations, so far the best of the IBM specialization.

Great job Joseph!!

por YEE S N

21 de abr. de 2020

Great class! Easy to follow, teaches all important concepts for using convolutional neural network.

por Prasad C

22 de may. de 2020

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

por Wanderson S

7 de mar. de 2020

The course is very complete and the instructor demonstrates a lot of knowledge on the subject.

por Jessiedee M G

13 de abr. de 2020

The contents are not that hard and best suited as introduction level in deep learning.

por Adolfo C Y

15 de abr. de 2020

State of the art Course

I was expecting a more challenging project, 5 stars content

por Patrick O

31 de may. de 2020

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

por RuoxinLi

8 de dic. de 2019

Very Clear explanation and rich labs. The quiz can be more challenging

por Mevan E

28 de abr. de 2020

Well prepared course. I got a full overview of working with PyTorch.

por Alexis b

28 de mar. de 2020

Well prepared and interesting content taught with a clear voice !

por Alexander M A

1 de may. de 2020

I really enjoyed the course for its diversity and practicality

por Evgeniya O

4 de may. de 2020

A very nice course with clear explanations and good examples.

por 석박통합김한준

6 de mar. de 2020

Excellent lecture! I appreciate your great work! Thank you!

por Stefan W

26 de ene. de 2020

Great course with in depth material & hands-on learning.

por Mateus N

25 de abr. de 2020

Good introductory course! Lots of exercises and samples

por MUKUL K

20 de mar. de 2020

Great course for beginners in pytorch

por Gordon R

30 de mar. de 2020

Good introduction to pytorch.

por Pavan D

19 de nov. de 2019

very intuitive and in depth

por Samira G

30 de may. de 2020

Outstanding course...

por Farrukh N A

9 de dic. de 2019

Best course on AI

por Julien V

3 de jun. de 2020

Great course !

por Aditya G P

28 de abr. de 2020

Awesome course

por ThanhTung

24 de dic. de 2019

very helpful

por Dishit P

27 de abr. de 2020

best course

por Branly F L

8 de abr. de 2020

Nice..!!