-
Image style transfer using convolutional neural networks
Image style transfer using convolutional neural networks. -
Tubule Segmentation Dataset
The dataset used for tubule segmentation of inhomogeneity images based on convolutional neural networks with fluorescence microscopy correction. -
Camera Model Identification Challenge
A dataset for camera model identification using convolutional neural networks. -
NESTA: A Specialized Neural Processing Engine for Efficient Convolutional Neu...
NESTA: a specialized neural processing engine designed for executing learning models in which filter-weights, input-data, and applied biases are expressed in fixed-point format. -
Binary Convolution Dataset
The dataset used in this paper is a binary convolution dataset, where the inputs are binary images and the outputs are the results of the convolution operation. -
U-net: Con-volutional networks for biomedical image segmentation
U-net: Con-volutional networks for biomedical image segmentation. -
Thermal and IR drop analysis using convolutional encoder-decoder networks
Thermal and IR drop analysis using convolutional encoder-decoder networks. -
Ultrafast Image Categorization in Biology and Neural Models
The dataset used to train the VGG 16 model to detect the presence of an animal or an artifact in a scene. -
MNIST Dataset
The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as... -
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.
