6 datasets found

AlexNet, VGG-16, and ResNet-18 datasets used for training and testing the Zero Activation Predictor (ZAP) model.

The AlexNet dataset is used to test the proposed systematic weight pruning framework.

AlexNet by Krizhevsky et al. (2012), VGG by Simonyan & Zisserman (2015), GoogleNet (Szegedy et al., 2015) and ResNet (He et al., 2015) have seen state-of-the-art...

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.

AlexNet for time series classification

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