Cifar-10 Image Classification with Keras and Tensorflow 2.0

Offered By
In this Guided Project, you will:
2 hours
Beginner
No download needed
Split-screen video
English
Desktop only

In this guided project, we will build, train, and test a deep neural network model to classify low-resolution images containing airplanes, cars, birds, cats, ships, and trucks in Keras and Tensorflow 2.0. We will use Cifar-10 which is a benchmark dataset that stands for the Canadian Institute For Advanced Research (CIFAR) and contains 60,000 32x32 color images. This project is practical and directly applicable to many industries.

Skills you will develop

  • Data Science

  • Artificial Neural Network

  • Machine Learning

  • Deep Learning

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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