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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

4.5
estrellas
206 calificaciones
30 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

SK

Nov 17, 2019

Awesome! This course gives me the basic workflow for using machine learning technique in my research! The materials in the form of Jupyter lab really help!

JJ

Feb 20, 2020

It was a LONG course, very packed with info. But, I feel like I certainly learned a lot and have a great foundation for further learning.

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1 - 25 de 30 revisiones para Deep Neural Networks with PyTorch

por Jordan W

Dec 17, 2019

A terrific overview of PyTorch. I was especially amazed by the lab notebooks where the author went above and beyond to plot everything in a useful way. This allowed the student to visualize everything that was going on under the hood. In each notebook, there was also multiple ways of showing how to accomplish a task whether it be coding manually or using a PyTorch function to simplify. I appreciate seeing it both ways as it really demystifies the black box of Deep Learning libraries.

por Daniel K

Nov 20, 2019

Amazing, really informative and helps a lot !!! really liked this course and would recommend this to anyone interested in Deep learning!

por Prosenjit D

Dec 26, 2019

Horrible slides, instructor's monotonous voice, typos in exercises, and explanations are inadequate. Course is a rip off at 50 dollar a month.

por Henrik S

Dec 10, 2019

While the subject of this course is interesting, the general quality of the course materials is sub-standard of what I am used to on Coursera. I posted a question on the forum that the staff never bothered to answer. I used to a much better quality from Coursera.

por Michael X

Jan 07, 2020

Still a decent course but compared to other courses in this series, both the content and the

presentation of the content really lack clarity.

por Shinhoo K

Nov 17, 2019

Awesome! This course gives me the basic workflow for using machine learning technique in my research! The materials in the form of Jupyter lab really help!

por Konrad A B

Feb 02, 2020

Excellent Course. The Instructor put a lot of work into the content. Thank you for sharing the knowledge

por RuoxinLi

Dec 09, 2019

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

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 sada n

Jan 10, 2020

it is too deep

por Yong S

Feb 03, 2020

Very well done course! The concepts are pretty clearly explained. Sometimes the labs have instructions that are a bit misleading but it's a very minor issue. I really enjoyed the instructor using colored blocks as a tool to explain codes!

por Cristina A G

Feb 20, 2020

One of the best courses I've taken. Everything was really easy explained, step-by-step, with nice slides and lost of explanations. It is really clear and starts from the very beginning. I'll totally recommend it!

por Pham C B

Feb 18, 2020

A good course for people who want to start with pytorch framework. This course start from sample problem to an complex ones help people understand easily.

por Jeremiah J

Feb 20, 2020

It was a LONG course, very packed with info. But, I feel like I certainly learned a lot and have a great foundation for further learning.

por Stefan W

Jan 26, 2020

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

por Lee Y Y

Feb 09, 2020

Easy-to-follow course for pytorch

por Marvin L

Feb 06, 2020

It was Good !!

por Miele W

Feb 16, 2020

Well, as there are no sort of exams or real questions to answer in order to pass, it strictly depends on how much attention you put in following this course. IMHO if well studied, it gives you a solid foundation, in order to let you explore the pytorch module.

por 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.

por Eric

Jan 20, 2020

Good, thorough course. Does not hold the student to any kind of standard or accountability and quizzes are ridiculously easy to pass.

por Pietro D

Jan 03, 2020

The course is interesting and well organized but the quiz are not challenging and full of typos.

por Paranjape A J

Feb 13, 2020

More graded coding assignments would have been better, but content is good!