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Build a Deep Learning Based Image Classifier with R に戻る

Coursera Project Network による Build a Deep Learning Based Image Classifier with R の受講者のレビューおよびフィードバック



In this 45-min guided project, you will learn the basics of using the Keras interface to R with Tensorflow as its backend to solve an image classification problem. By the time you complete this project, you will have used the R programming language to build, train, and evaluate a neural network model to classify images of clothing items into categories such as t-shirts, trousers, and sneakers. We will be training the deep learning based image classification model on the Fashion MNIST dataset which contains 70000 grayscale images of clothes across 10 categories. In order to be successful in this project, you should be familiar with R programming, and basics of neural networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Build a Deep Learning Based Image Classifier with R: 1 - 14 / 14 レビュー

by Jonathan A M M

May 18, 2020

Excellent instructive course but I don't know why do I have the Unicode error in my RStudio

by harsha p m

May 01, 2020

VERY NICE, Learned new thing and interesting with hands-on

by Srinivas

May 15, 2020

Awesome live session for practice using cloud desktop

by Jayesh K T

May 11, 2020

Very nice, concise, clean and to the point project.

by Vikas P

May 31, 2020

excellent way of getting a sense of deep learning.

by Mrutyunjaya S Y

May 11, 2020

Excellent knowledge by learning about images


May 29, 2020

It was a great experience


May 09, 2020

awesome guided project

by Rishabh R

May 09, 2020

Excellent project


Jun 02, 2020


by Nivedhitha V

May 19, 2020

Really useful If you've already had some experience In deep learning just to refresh yourself


Apr 28, 2020

Nice and quick dive into deep learning with R !

by Seema B

Jun 03, 2020

Explanation is nice ! Hands on can be better.

by Rashaad J

Apr 23, 2020

Instructor was great. More explanation on softmax and relu should have been provided. Also, more discussion on parameters and different options for those parameters should have been provided.