Chevron Left
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
640 calificaciones
144 revisiones

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 revisiones

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.

Filtrar por:

26 - 50 de 144 revisiones para Deep Neural Networks with PyTorch

por Wanderson G d S

Mar 08, 2020

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

por Jessiedee M G

Apr 13, 2020

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

por Adolfo C Y

Apr 16, 2020

State of the art Course

I was expecting a more challenging project, 5 stars content

por RuoxinLi

Dec 09, 2019

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

por Mevan E

Apr 28, 2020

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

por Alexis b

Mar 28, 2020

Well prepared and interesting content taught with a clear voice !

por Mohammed A

May 01, 2020

I really enjoyed the course for its diversity and practicality

por Evgeniya O

May 04, 2020

A very nice course with clear explanations and good examples.

por Han-June K

Mar 06, 2020

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

por Stefan W

Jan 26, 2020

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

por Mateus T N

Apr 25, 2020

Good introductory course! Lots of exercises and samples

por Mohamed O A T

Mar 15, 2020

Highly recommended course for students

por Vittorino M

Dec 09, 2019

Aprendí muchísimo. Gracias.

por Pavan D

Nov 19, 2019

very intuitive and in depth

por Farrukh N A

Dec 09, 2019

Best course on AI

por ThanhTung

Dec 25, 2019

very helpful

por Ankush K

Apr 30, 2020

Very good course only , complete the practical assignments they are important.

As for exam the question answers should be based on practical outputs, say make a model for

this dataset or so. Paste the result for the score.

por Giorgio G

Jun 04, 2020

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

Great job Joseph!!

por Prasad C

May 23, 2020

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

por Patrick O

May 31, 2020

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

por Mukul K

Mar 20, 2020

Great course for beginners in pytorch

por Lee Y Y

Feb 09, 2020

Easy-to-follow course for pytorch

por Suan S A C

Apr 08, 2020

I really enjoy this course!!!

por Gordon P R

Mar 31, 2020

Good introduction to pytorch.

por Shreya D

May 02, 2020

very well structured course.