wide-residual-networks

ResNet experiment

An experimental study on residual networks to improve depth and width trade-offs in neural networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

GitHub

1k stars
60 watching
293 forks
Language: Lua
last commit: over 5 years ago
Linked from 2 awesome lists


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
szagoruyko/binary-wide-resnet An implementation of a 1-bit weight neural network architecture using PyTorch 124
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 333
pistony/residualattentionnetwork A Gluon implementation of Residual Attention Network for image classification tasks 107
mzaradzki/neuralnets An experiment with various deep learning libraries and frameworks on images and time series data 162
raghakot/keras-resnet An implementation of Residual Networks using Keras' functional API 1,386
bmsookim/wide-resnet.pytorch PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets 461
cszn/srmd Develops a single convolutional network to handle various image degradations with improved scalability and efficiency 426
asmith26/wide_resnets_keras Keras implementation of Wide Residual Networks with preloaded weights and configuration options for training and testing 138
fwang91/residual-attention-network An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. 551
tengshaofeng/residualattentionnetwork-pytorch Implementing a deep learning framework for image classification using Residual Attention Network architecture 680
szagoruyko/attention-transfer Improves performance of convolutional neural networks by transferring knowledge from teacher models to student models using attention mechanisms. 1,444
songhan/squeezenet-residual An optimized neural network architecture for image classification tasks by combining SqueezeNet with residual connections. 154
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112
nutszebra/resnet_in_resnet An implementation of Residual Networks In Residual Networks using Chainer. 3
kaiminghe/resnet-1k-layers Represents a neural network architecture with 1K layers, designed for image recognition tasks. 906