Build a Deep Learning Based Image Classifier with R
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.
Artificial Neural Network
由 NV 提供May 18, 2020
Really useful If you've already had some experience In deep learning just to refresh yourself
由 RR 提供Jun 7, 2020
I really enjoyed working with this project. Thank you so much for the valuable teaching.
由 VP 提供May 30, 2020
excellent way of getting a sense of deep learning.
由 AG 提供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.