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R Deep Learning Solutions: Downloading and Configuring an Image Dataset| packtpub.com
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In this video, we will use the CIFAR-10 dataset to build a convolution neural network for image classification. The CIFAR-10 dataset consists of 60,000 32 x 32 color images of 10 classes, with 6,000 images per class.
• Download the dataset
• Generate flattened train and test datasets
For the latest Big Data and Business Intelligence tutorials, please visit
In this video, we will use the CIFAR-10 dataset to build a convolution neural network for image classification. The CIFAR-10 dataset consists of 60,000 32 x 32 color images of 10 classes, with 6,000 images per class.
• Download the dataset
• Generate flattened train and test datasets
For the latest Big Data and Business Intelligence tutorials, please visit
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