├── README.md ├── code_practices ├── AdaIN_Style_Transfer_Tutorial.ipynb ├── Attention_is_All_You_Need_Tutorial_(German_English).ipynb ├── Batch_Normalization_Evaluation_(with_Residual_Connection).ipynb ├── GAN_for_MNIST_Tutorial.ipynb ├── MI_FGSM_Attack_for_CIFAR_10.ipynb ├── MI_FGSM_Attack_for_ImageNet.ipynb ├── Neural_Image_Captioning_(NIC)_Using_ResNet_101.ipynb ├── One_Shot_Kill_Poison_Attack_AlexNet.ipynb ├── One_Shot_Kill_Poison_Attack_ResNet.ipynb ├── Opt_Attack_for_CIFAR_10.ipynb ├── Opt_Attack_for_MNIST.ipynb ├── Pix2Pix_for_Facades.ipynb ├── Pretrained_ResNet18_CIFAR10_Test.ipynb ├── Pretrained_ResNet18_ImageNet_Test.ipynb ├── ResNet18_CIFAR10_Basic_Training.ipynb ├── ResNet18_CIFAR10_Train.ipynb ├── ResNet18_CIFAR10_Training_with_Input_Mixup.ipynb ├── ResNet18_CIFAR10_Training_with_Input_Mixup_and_Label_Smoothing.ipynb ├── ResNet18_CIFAR10_Training_with_Label_Smoothing.ipynb ├── ResNet18_MNIST_Train.ipynb ├── Sequence_to_Sequence_with_Attention_Tutorial.ipynb ├── Sequence_to_Sequence_with_LSTM_Tutorial.ipynb ├── Shadow_Attack_Tutorial.ipynb ├── Sign_OPT_Attack_for_CIFAR_10.ipynb ├── Sign_OPT_Attack_for_MNIST.ipynb ├── StarGAN_Tutorial.ipynb ├── Style_Transfer_Tutorial.ipynb ├── Targeted_HopSkipJumpAttack_Using_CIFAR10.ipynb ├── TextFooler_Tutorial.ipynb ├── Untargeted_HopSkipJumpAttack_Using_CIFAR10.ipynb └── images │ ├── cat.jpg │ ├── content_img_1.jpg │ ├── content_img_2.jpg │ ├── style_img_1.jpg │ └── style_img_2.jpg └── lecture_notes ├── AdaIN_Style_Transfer.pdf ├── Bag_of_Tricks_for_Image_Classification.pdf ├── Batch_Normalization.pdf ├── Boosting_Adversarial_Attacks_with_Momentum.pdf ├── Boundary_Attack.pdf ├── DETR.pdf ├── Deep_Compression.pdf ├── Faster_R-CNN.pdf ├── GAN.pdf ├── MZSR.pdf ├── OPT_Attack.pdf ├── Pix2Pix.pdf ├── Poison_Frogs.pdf ├── ResNet.pdf ├── Seq2Seq.pdf ├── Shadow_Attack.pdf ├── SinGAN.pdf ├── StarGAN.pdf ├── Style Transfer.pdf ├── StyleGAN.pdf ├── TextFooler.pdf └── Transformer.pdf /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/README.md -------------------------------------------------------------------------------- /code_practices/AdaIN_Style_Transfer_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/AdaIN_Style_Transfer_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Attention_is_All_You_Need_Tutorial_(German_English).ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Attention_is_All_You_Need_Tutorial_(German_English).ipynb -------------------------------------------------------------------------------- /code_practices/Batch_Normalization_Evaluation_(with_Residual_Connection).ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Batch_Normalization_Evaluation_(with_Residual_Connection).ipynb -------------------------------------------------------------------------------- /code_practices/GAN_for_MNIST_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/GAN_for_MNIST_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/MI_FGSM_Attack_for_CIFAR_10.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/MI_FGSM_Attack_for_CIFAR_10.ipynb -------------------------------------------------------------------------------- /code_practices/MI_FGSM_Attack_for_ImageNet.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/MI_FGSM_Attack_for_ImageNet.ipynb -------------------------------------------------------------------------------- /code_practices/Neural_Image_Captioning_(NIC)_Using_ResNet_101.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Neural_Image_Captioning_(NIC)_Using_ResNet_101.ipynb -------------------------------------------------------------------------------- /code_practices/One_Shot_Kill_Poison_Attack_AlexNet.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/One_Shot_Kill_Poison_Attack_AlexNet.ipynb -------------------------------------------------------------------------------- /code_practices/One_Shot_Kill_Poison_Attack_ResNet.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/One_Shot_Kill_Poison_Attack_ResNet.ipynb -------------------------------------------------------------------------------- /code_practices/Opt_Attack_for_CIFAR_10.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Opt_Attack_for_CIFAR_10.ipynb -------------------------------------------------------------------------------- /code_practices/Opt_Attack_for_MNIST.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Opt_Attack_for_MNIST.ipynb -------------------------------------------------------------------------------- /code_practices/Pix2Pix_for_Facades.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Pix2Pix_for_Facades.ipynb -------------------------------------------------------------------------------- /code_practices/Pretrained_ResNet18_CIFAR10_Test.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Pretrained_ResNet18_CIFAR10_Test.ipynb -------------------------------------------------------------------------------- /code_practices/Pretrained_ResNet18_ImageNet_Test.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Pretrained_ResNet18_ImageNet_Test.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_CIFAR10_Basic_Training.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_CIFAR10_Basic_Training.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_CIFAR10_Train.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_CIFAR10_Train.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_CIFAR10_Training_with_Input_Mixup.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_CIFAR10_Training_with_Input_Mixup.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_CIFAR10_Training_with_Input_Mixup_and_Label_Smoothing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_CIFAR10_Training_with_Input_Mixup_and_Label_Smoothing.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_CIFAR10_Training_with_Label_Smoothing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_CIFAR10_Training_with_Label_Smoothing.ipynb -------------------------------------------------------------------------------- /code_practices/ResNet18_MNIST_Train.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/ResNet18_MNIST_Train.ipynb -------------------------------------------------------------------------------- /code_practices/Sequence_to_Sequence_with_Attention_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Sequence_to_Sequence_with_Attention_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Sequence_to_Sequence_with_LSTM_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Sequence_to_Sequence_with_LSTM_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Shadow_Attack_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Shadow_Attack_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Sign_OPT_Attack_for_CIFAR_10.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Sign_OPT_Attack_for_CIFAR_10.ipynb -------------------------------------------------------------------------------- /code_practices/Sign_OPT_Attack_for_MNIST.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Sign_OPT_Attack_for_MNIST.ipynb -------------------------------------------------------------------------------- /code_practices/StarGAN_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/StarGAN_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Style_Transfer_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Style_Transfer_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Targeted_HopSkipJumpAttack_Using_CIFAR10.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Targeted_HopSkipJumpAttack_Using_CIFAR10.ipynb -------------------------------------------------------------------------------- /code_practices/TextFooler_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/TextFooler_Tutorial.ipynb -------------------------------------------------------------------------------- /code_practices/Untargeted_HopSkipJumpAttack_Using_CIFAR10.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/Untargeted_HopSkipJumpAttack_Using_CIFAR10.ipynb -------------------------------------------------------------------------------- /code_practices/images/cat.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/images/cat.jpg -------------------------------------------------------------------------------- /code_practices/images/content_img_1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/images/content_img_1.jpg -------------------------------------------------------------------------------- /code_practices/images/content_img_2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/images/content_img_2.jpg -------------------------------------------------------------------------------- /code_practices/images/style_img_1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/images/style_img_1.jpg -------------------------------------------------------------------------------- /code_practices/images/style_img_2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/code_practices/images/style_img_2.jpg -------------------------------------------------------------------------------- /lecture_notes/AdaIN_Style_Transfer.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/AdaIN_Style_Transfer.pdf -------------------------------------------------------------------------------- /lecture_notes/Bag_of_Tricks_for_Image_Classification.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Bag_of_Tricks_for_Image_Classification.pdf -------------------------------------------------------------------------------- /lecture_notes/Batch_Normalization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Batch_Normalization.pdf -------------------------------------------------------------------------------- /lecture_notes/Boosting_Adversarial_Attacks_with_Momentum.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Boosting_Adversarial_Attacks_with_Momentum.pdf -------------------------------------------------------------------------------- /lecture_notes/Boundary_Attack.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Boundary_Attack.pdf -------------------------------------------------------------------------------- /lecture_notes/DETR.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/DETR.pdf -------------------------------------------------------------------------------- /lecture_notes/Deep_Compression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Deep_Compression.pdf -------------------------------------------------------------------------------- /lecture_notes/Faster_R-CNN.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Faster_R-CNN.pdf -------------------------------------------------------------------------------- /lecture_notes/GAN.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/GAN.pdf -------------------------------------------------------------------------------- /lecture_notes/MZSR.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/MZSR.pdf -------------------------------------------------------------------------------- /lecture_notes/OPT_Attack.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/OPT_Attack.pdf -------------------------------------------------------------------------------- /lecture_notes/Pix2Pix.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Pix2Pix.pdf -------------------------------------------------------------------------------- /lecture_notes/Poison_Frogs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Poison_Frogs.pdf -------------------------------------------------------------------------------- /lecture_notes/ResNet.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/ResNet.pdf -------------------------------------------------------------------------------- /lecture_notes/Seq2Seq.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Seq2Seq.pdf -------------------------------------------------------------------------------- /lecture_notes/Shadow_Attack.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Shadow_Attack.pdf -------------------------------------------------------------------------------- /lecture_notes/SinGAN.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/SinGAN.pdf -------------------------------------------------------------------------------- /lecture_notes/StarGAN.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/StarGAN.pdf -------------------------------------------------------------------------------- /lecture_notes/Style Transfer.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Style Transfer.pdf -------------------------------------------------------------------------------- /lecture_notes/StyleGAN.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/StyleGAN.pdf -------------------------------------------------------------------------------- /lecture_notes/TextFooler.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/TextFooler.pdf -------------------------------------------------------------------------------- /lecture_notes/Transformer.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ndb796/Deep-Learning-Paper-Review-and-Practice/HEAD/lecture_notes/Transformer.pdf --------------------------------------------------------------------------------