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Learner Reviews & Feedback for Deep Neural Networks with PyTorch by IBM

4.4
stars
828 ratings
•
186 reviews

About the Course

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...

Top reviews

SY
Apr 29, 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 15, 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.

Filter by:

26 - 50 of 186 Reviews for Deep Neural Networks with PyTorch

By Giorgio G

•
Jun 4, 2020

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

Great job Joseph!!

By YEE S N

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Apr 21, 2020

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

By Prasad C

•
May 22, 2020

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

By Wanderson G d S

•
Mar 7, 2020

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

By Jessiedee M G

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Apr 13, 2020

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

By Adolfo C Y

•
Apr 15, 2020

State of the art Course

I was expecting a more challenging project, 5 stars content

By Patrick O

•
May 31, 2020

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

By RuoxinLi

•
Dec 8, 2019

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

By Mevan E

•
Apr 28, 2020

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

By Alexis b

•
Mar 28, 2020

Well prepared and interesting content taught with a clear voice !

By Alexander M A

•
May 1, 2020

I really enjoyed the course for its diversity and practicality

By Evgeniya O

•
May 4, 2020

A very nice course with clear explanations and good examples.

By 석박통합김한준

•
Mar 6, 2020

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

By Stefan W

•
Jan 26, 2020

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

By Mateus N

•
Apr 25, 2020

Good introductory course! Lots of exercises and samples

By Mohamed O A T

•
Mar 15, 2020

Highly recommended course for students

By MUKUL K

•
Mar 20, 2020

Great course for beginners in pytorch

By Lee Y Y

•
Feb 9, 2020

Easy-to-follow course for pytorch

By Suan S A C

•
Apr 8, 2020

I really enjoy this course!!!

By Gordon P R

•
Mar 30, 2020

Good introduction to pytorch.

By Shreya D

•
May 2, 2020

very well structured course.

By Vittorino M

•
Dec 9, 2019

Aprendí muchísimo. Gracias.

By Pavan D

•
Nov 19, 2019

very intuitive and in depth

By Irfan S

•
May 31, 2020

Labs were detailed one.

By Samira G

•
May 30, 2020

Outstanding course...

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