Build a Deep Learning Based Image Classifier with R
6940 ya inscrito
6940 ya inscrito
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
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por NV18 de may. de 2020
Really useful If you've already had some experience In deep learning just to refresh yourself
por M19 de jun. de 2020
Good hands-on experience if you are interested in neural networks and image classification
por VP30 de may. de 2020
excellent way of getting a sense of deep learning.
por AR14 de may. de 2020
Awesome live session for practice using cloud desktop