nutszebra/prelu_net nutszebra/prelu_net

  • Stars
    star
    11
  • Rank 1,694,829 (Top 34 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 8 years ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
nutszebra/prelu_net
github

nutszebra

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)

More Repositories

1

neural_architecture_search_with_reinforcement_learning_appendix_a

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
Python
54
star
2

googlenet

Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)
Python
29
star
3

chainer_image_recognition

links of my implementation
16
star
4

SENets

Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
Python
14
star
5

shake_shake

Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)
Python
10
star
6

resnext

Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)
Python
9
star
7

googlenet_v2

Implementation of googlenet-v2 by chainer (Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167)
Python
8
star
8

googlenet_v3

Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)
Python
8
star
9

fractal_net

Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)
Python
5
star
10

trainer

trainer for chainer
Python
4
star
11

squeeze_net

Implementation of SqueezeNet by chainer (SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size: https://arxiv.org/abs/1602.07360)
Python
4
star
12

vgg

Implementation of VGG by chainer (Very Deep Convolutional Networks for Large-Scale Image Recognition: https://arxiv.org/abs/1409.1556)
Python
4
star
13

wide_residual_net

Implementation of Wide Residual Networks (WRN) by chainer (Wide Residual Networks: https://arxiv.org/abs/1605.07146)
Python
4
star
14

multimodal_word2vec

implementation of Combining Language and Vision with a Multimodal Skip-gram Model
Python
3
star
15

resnet_in_resnet

Implementation of Residual Networks In Residual Networks by chainer (Resnet in Resnet: Generalizing Residual Architectures: https://arxiv.org/abs/1603.08029)
Python
3
star
16

highway_networks

Implementation of Highway Networks by chainer(Training Very Deep Networks :https://arxiv.org/abs/1507.06228)
Python
3
star
17

shampoo

Python
2
star
18

gated_convolutional_networks

Implementation of gated convolutional networks by chainer (Language Modeling with Gated Convolutional Networks :https://arxiv.org/pdf/1612.08083v1.pdf)
Python
2
star
19

sha_resnet

Implementation of ShaResNet of Wide Residual Networks by chainer (ShaResNet: reducing residual network parameter number by sharing weights: https://arxiv.org/abs/1702.08782)
Python
2
star
20

pyramidal_residual_networks

Implementation of Pyramidal Residual Networks by chainer (Deep Pyramidal Residual Networks: https://arxiv.org/abs/1610.02915)
Python
2
star
21

residual_networks_of_residual_networks

Implementation of Residual Networks of Residual Networks by chainer (Residual Networks of Residual Networks: Multilevel Residual Networks: https://arxiv.org/abs/1608.02908)
Python
2
star
22

swapout

Implementation of Swapout by chainer (Swapout: Learning an ensemble of deep architectures: https://arxiv.org/abs/1605.06465)
Python
1
star
23

Pixel-to-Binary-Embedding

Python
1
star
24

weighted_residual_net

Implementation of Weighted Residuals for Very Deep Networks Depth (WResNet) by chainer (Weighted Residuals for Very Deep Networks: https://arxiv.org/abs/1605.08831)
Python
1
star
25

new_easy_hard

Python
1
star
26

stochastic_depth

Implementation of Deep Networks with Stochastic Depth by chainer (Deep Networks with Stochastic Depth: https://arxiv.org/abs/1603.09382)
Python
1
star
27

network_in_network_with_bn

Implementation of NIN(Network In Network) with BN(Batch Normalization) by chainer
Python
1
star