Chevron Left
Retour à Deep Neural Networks with PyTorch

Avis et commentaires pour d'étudiants pour Deep Neural Networks with PyTorch par IBM

4.4
étoiles
696 évaluations
151 avis

À propos du cours

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...

Meilleurs avis

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.

Filtrer par :

51 - 75 sur 152 Avis pour Deep Neural Networks with PyTorch

par Irfan S

May 31, 2020

Labs were detailed one.

par Samira G

May 30, 2020

Outstanding course...

par David S

Mar 29, 2020

Fantastic explanation

par Julien V

Jun 03, 2020

Great course !

par Aditya G P

Apr 28, 2020

Awesome course

par Marvin L

Feb 06, 2020

It was Good !!

par Dishit P

Apr 27, 2020

best course

par Branly F L

Apr 09, 2020

Nice..!!

par Pietro D

Jan 03, 2020

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

par Marcin L

May 01, 2020

Practice sessions are organized in a tool that doesn't have enough computing power for training neural networks. The networks often take hours to train and you have to constantly monitor them because if you don't, the tool will automatically sign you out and you will lose your results.

I also don't like the mechanistic reading style (sounds like a bot reading), lack of human interaction doesn't seem to work for lectures.

par Konstantin S

Feb 24, 2020

Poorly prepared materials, awful quiz modules, lots of mistakes

par Oussama B

Feb 27, 2020

Bad !!!!! Many mistakes, questions too easy !!! I am really disapointed

par Karishma D

Jul 21, 2020

The right level of detail so that you can dive in.

I wish there had been a week to cover RNNs as well though, in particular the best way to handle variable length sequences for RNNs :)

par Surya P S

Jul 27, 2020

Wonderful course!!! Best among all the courses under AI Engineer Certificate by IBM. Deep learning always haunted me with the maths involved but now I get a very good start with this.

par Divyansh C

Jul 07, 2020

I really appreciate this course. Its really amazing course and if you are a beginner in Deep Learning and want to use and learn Pytorch then this course is really good to start.

par Diego D

Jul 13, 2020

Excellent Course. I love the way the course was presented. There were a lot of practical and visual examples explaining each module. It is highly recommended!

par Okta F S

Jun 18, 2020

By this course I can understand the basic concept for building neural network or deep lerning model using PyTorch. Very Good course to beginner.

par Zhenzhou Z

Jul 01, 2020

It would be better to add a section explaining the experiment code of the famous paper.

par Siladittya M

Jul 23, 2020

Quiz questions are very easy. Graded Programming Assignments would have been better.

par Sofyan T

Jul 22, 2020

clear instruction, great ilustration and process description. Thank you so much

par AYUSH K

Jul 06, 2020

incredible course covering from basics to a satisfaction level

par Zaheer U R

Jul 12, 2020

Amazing course with brilliant explanation

par Farhad A

Jun 16, 2020

It was well structured . Thank you

par Krishna H

Apr 28, 2020

Good!

par 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.