131 datasets found

The proposed method alternates classification and introspection. The introspection phase employs a strategy to select a sub-window for the next step by applying a beam-search to...

The NASBench-101 dataset is a large-scale benchmark for neural architecture search. It contains nearly 423K unique convolutional neural network architectures with diverse...

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ConvNeXt.

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ResNet-34, and its layers 20 and 28.

A dataset of star cluster candidates in the M83 galaxy, detected using a convolutional neural network

A catalog of visual-like morphologies in the 5 Candels fields using deep-learning

A catalog of broad morphology of SDSS galaxies

A catalog of broad morphology of Pan-STARRS galaxies based on deep learning

Face shape classification using Inception v3

Deep learning-based dataset for computer-aided detection of medical images

Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI)

The dataset used for analysis of TAIGA-IACT images using Convolutional Neural Networks

Convolutional neural network for sentiment analysis

The dataset is used to demonstrate geometric deep learning on non-Euclidean domains.

Hyperparameter optimization for transfer Convolutional Neural Networks (CNN) using Genetic Algorithm

The dataset used in this paper is a multilayered sparse neural network, specifically a convolutional neural network.

A dataset used for training a convolutional neural network (CNN) for object detection.

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces.

The LeNet-5 dataset is a large collection of handwritten digit images.

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