Cifar-10 Image Classification with Keras and Tensorflow 2.0

提供方
在此指導項目中,您將:
2 hours
初級
無需下載
分屏視頻
英語(English)
僅限桌面

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.

您要培養的技能

  • Data Science

  • Artificial Neural Network

  • Machine Learning

  • Deep Learning

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