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Neural Tangent Kernel
The neural tangent kernel Jacot et al. (2018) for fully-connected and convolutional networks describes the behavior and asymptotic performance of these networks under the... -
Progressive Feedforward Collapse of ResNet Training
The dataset used in the paper is a ResNet trained on various datasets, including MNIST, Fashion MNIST, CIFAR10, STL10, and CIFAR100. -
ImageNet and Wiki103
The dataset used in the paper is ImageNet and Wiki103. -
ImageNet + ResNet101 and WT103 + TransformerXL models
The dataset used in the paper is ImageNet + ResNet101 and WT103 + TransformerXL models. -
Heat Equation, Burgers Equation, and Kuramoto-Sivashinsky Equation Datasets
The dataset used for training and testing the neural network for linearizing the heat equation, Burgers equation, and Kuramoto-Sivashinsky equation. -
Disentangle Sample Size and Initialization Effect on Perfect Generalization f...
The dataset used in the paper is a two-layer neural network with a single-neuron target function. -
Restricted Boltzmann Machine for Combinatorial Optimization and Integer Facto...
The dataset used in this paper is a Restricted Boltzmann Machine (RBM) for combinatorial optimization and integer factorization. -
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
The proposed network architecture uses a threshold mechanism to further optimize the connection method, reducing connections between layers to accelerate inference time. -
Real-time Capable Modeling of Neutral Beam Injection on NSTX-U using Neural N...
A dataset of plasma dynamics in a tokamak, used to evaluate the performance of the Neural Dynamical Systems (NDS) method. -
Algebraic function based Banach space valued ordinary and fractional neural n...
The dataset is used for testing the univariate quantitative approximation, ordinary and fractional, of Banach space valued continuous functions on a compact interval or all the... -
Analysis and Modelling of Subthreshold Neural Multi-electrode Array Data by S...
The dataset is a multi-electrode array (MEA) recording of spontaneous neuronal network activity in an acute hippocampal brain slice from a rat. -
Training Recurrent Neural Networks via Dynamical Trajectory-Based Optimization
The dataset used in this paper is a recurrent neural network with one hidden layer. The structure of the network is shown in Fig. 1. The input-output relation of the network is... -
Two-Layer Neural Networks
The dataset is used to analyze the convergence of stochastic gradient descent for two-layer neural networks. -
Message Passing Neural PDE Solvers dataset
A dataset for message passing neural PDE solvers, including the Navier-Stokes equation. -
Synthetic dataset for causal learning
Synthetic dataset for learning causal models using neural networks. -
Monadic Deep Learning
The dataset used in this paper is a simple dynamic neural network, which is a type of deep learning model. It is used to demonstrate the capabilities of the DeepLearning.scala... -
Breast Cancer
A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for... -
EM Segmentation Dataset
The EM segmentation dataset has 30 training images with publicly available groundtruth and 30 test images with annotations kept private for the assessment of segmentation accuracy. -
Alternating optimization method based on nonnegative matrix factorizations fo...
The proposed method uses the MNIST and CIFAR10 datasets for fully-connected DNNs. -
Neural Network SDE Models with Applications to Financial Data Forecasting
The dataset used in this paper is a collection of stochastic differential equations with drift and diffusion coefficients approximated by neural networks to predict the trend of...
