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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

4.6
174件の評価
34件のレビュー

コースについて

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....

人気のレビュー

AG

2020年6月16日

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

M

2020年6月19日

Good hands-on experience if you are interested in neural networks and image classification

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Build a Deep Learning Based Image Classifier with R: 26 - 34 / 34 レビュー

by Anitha V

2020年7月12日

EXCELENT

by Nivedhitha V

2020年5月18日

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

by CAUD F

2020年4月28日

Nice and quick dive into deep learning with R !

by Seema B

2020年6月3日

Explanation is nice ! Hands on can be better.

by Vijaya A R

2020年7月12日

good...i like project based learning.

by Yutian L

2021年12月6日

useful

by Maya B

2020年8月5日

cloud desktop does not work properly

by Alice S

2020年7月29日

The desktop cloud didn't work from task 5, I wrote it and never received a solution reply, so I was very disappointed because I couldn't test the model.

by Naveen R

2020年9月5日

good