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学生对 Coursera Project Network 提供的 Build a Deep Learning Based Image Classifier with R 的评价和反馈

174 个评分
34 条评论


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....



Jun 16, 2020

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


Jun 19, 2020

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


26 - Build a Deep Learning Based Image Classifier with R 的 34 个评论(共 34 个)

创建者 Anitha V

Jul 12, 2020


创建者 Nivedhitha V

May 18, 2020

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

创建者 CAUD F

Apr 28, 2020

Nice and quick dive into deep learning with R !

创建者 Seema B

Jun 3, 2020

Explanation is nice ! Hands on can be better.

创建者 Vijaya A R

Jul 12, 2020

good...i like project based learning.

创建者 Yutian L

Dec 6, 2021


创建者 Maya B

Aug 5, 2020

cloud desktop does not work properly

创建者 Alice S

Jul 29, 2020

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.

创建者 Naveen R

Sep 5, 2020