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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 chainergooglenet
Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)chainer_image_recognition
links of my implementationprelu_net
Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)shake_shake
Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)resnext
Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)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)googlenet_v3
Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)fractal_net
Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)trainer
trainer for chainersqueeze_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)vgg
Implementation of VGG by chainer (Very Deep Convolutional Networks for Large-Scale Image Recognition: https://arxiv.org/abs/1409.1556)wide_residual_net
Implementation of Wide Residual Networks (WRN) by chainer (Wide Residual Networks: https://arxiv.org/abs/1605.07146)multimodal_word2vec
implementation of Combining Language and Vision with a Multimodal Skip-gram Modelresnet_in_resnet
Implementation of Residual Networks In Residual Networks by chainer (Resnet in Resnet: Generalizing Residual Architectures: https://arxiv.org/abs/1603.08029)highway_networks
Implementation of Highway Networks by chainer(Training Very Deep Networks :https://arxiv.org/abs/1507.06228)shampoo
gated_convolutional_networks
Implementation of gated convolutional networks by chainer (Language Modeling with Gated Convolutional Networks :https://arxiv.org/pdf/1612.08083v1.pdf)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)pyramidal_residual_networks
Implementation of Pyramidal Residual Networks by chainer (Deep Pyramidal Residual Networks: https://arxiv.org/abs/1610.02915)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)swapout
Implementation of Swapout by chainer (Swapout: Learning an ensemble of deep architectures: https://arxiv.org/abs/1605.06465)Pixel-to-Binary-Embedding
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)new_easy_hard
stochastic_depth
Implementation of Deep Networks with Stochastic Depth by chainer (Deep Networks with Stochastic Depth: https://arxiv.org/abs/1603.09382)network_in_network_with_bn
Implementation of NIN(Network In Network) with BN(Batch Normalization) by chainerLove Open Source and this site? Check out how you can help us