5 datasets found

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  • CifarQuick

    The CifarQuick model is a medium-sized convolutional neural network trained on the Cifar-10 dataset.

  • ResNet-50

    The dataset used in the paper is the ResNet-50 dataset, a convolutional neural network model.

  • AlexNet

    The dataset used in the paper is the AlexNet dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

  • MobileNetV2

    The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system.

  • Learning Multiple Layers of Features from Tiny Images

    The CIFAR-10 dataset consists of 60,000 training images and 10,000 test images. Each image is a 32×32 color image.