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Volver a Cifar-10 Image Classification with Keras and Tensorflow 2.0

Opiniones y comentarios de aprendices correspondientes a Cifar-10 Image Classification with Keras and Tensorflow 2.0 por parte de Coursera Project Network

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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....
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