深度学习模型：各种深度学习架构，模型和技巧的集合 （170个子文件） 
iris.data 4KB .gitignore 2KB dcgan-cats-and-dogs.ipynb 4.93MB dcgan-celeba.ipynb 3.07MB custom-data-loader_dating-historical-color-images.ipynb 622KB ae-conv-nneighbor-celeba.ipynb 493KB cnn-vgg16-cats-dogs.ipynb 385KB _cnn-basemodel__vgg16-cats-dogs.ipynb 365KB cyclical-learning-rate.ipynb 303KB cnn-viz-grad__vgg16-cats-dogs.ipynb 269KB cnn-viz-guided-backprop__vgg16-cats-dogs.ipynb 266KB ae-cnn-cvae.ipynb 256KB torchvision-transform-examples.ipynb 243KB cnn-resnet101-celeba.ipynb 224KB cnn-vgg16-celeba.ipynb 218KB cnn-vgg16-celeba-data-parallel.ipynb 218KB cnn-resnet50-celeba-dataparallel.ipynb 214KB cnn-resnet34-celeba-dataparallel.ipynb 211KB cnn-resnet18-celeba-dataparallel.ipynb 211KB transferlearning-vgg16-cifar10-1.ipynb 206KB transferlearning-vgg16.ipynb 204KB ae-cnn-cvae_no-out-concat.ipynb 201KB ae-cvae.ipynb 199KB ae-cvae_no-out-concat.ipynb 198KB ae-conv-var.ipynb 196KB ae-var.ipynb 195KB custom-data-loader-celeba.ipynb 184KB gnn-basic-edge-1.ipynb 175KB plot-jupyter-matplotlib.ipynb 171KB cnn-resnet152-celeba.ipynb 165KB cnn-alexnet-cifar10-batchincrease.ipynb 132KB custom-data-loader-fashionmnist.ipynb 121KB gan.ipynb 114KB dc-wgan-1.ipynb 102KB gan-conv-smoothing.ipynb 102KB gnn-basic-graph-spectral-1.ipynb 100KB gan-conv.ipynb 97KB ae-conv-nneighbor-quickdraw-1.ipynb 97KB wgan-1.ipynb 93KB nin-cifar10_batchnorm.ipynb 90KB gan-conv.ipynb 88KB gan.ipynb 87KB rnn_bi_multilayer_lstm_own_csv_agnews.ipynb 85KB gan-conv-smoothing.ipynb 85KB mlp-fromscratch__sigmoid-mse.ipynb 85KB ae-basic-with-rf.ipynb 81KB cnn-densenet121-cifar10.ipynb 80KB logistic-regression.ipynb 76KB cnn-densenet121-mnist.ipynb 71KB gnn-basic-1.ipynb 70KB nin-cifar10_filter-response-norm.ipynb 63KB gradclipping_mlp.ipynb 53KB cnn-alexnet-cifar10.ipynb 48KB ae-deconv-jaccard.ipynb 47KB ae-deconv.ipynb 47KB resnet-ex-1.ipynb 46KB cnn-resnet34-quickdraw.ipynb 46KB ae-conv-nneighbor.ipynb 46KB ae-deconv-nopool.ipynb 45KB cnn-lenet5-quickdraw.ipynb 44KB ae-basic.ipynb 42KB ae-basic.ipynb 40KB image-data-chunking-hdf5.ipynb 39KB cnn-resnet50-mnist.ipynb 39KB tfrecords.ipynb 38KB deterministic_benchmark.ipynb 38KB ae-conv-nneighbor.ipynb 38KB ae-deconv.ipynb 38KB image-data-chunking-npz.ipynb 38KB cnn-resnet101-cifar10.ipynb 38KB ordinal-cnn-coral-afadlite.ipynb 36KB ordinal-cnn-beckham2016-afadlite.ipynb 36KB nin-cifar10.ipynb 36KB perceptron.ipynb 36KB perceptron.ipynb 36KB dataset-api.ipynb 33KB ordinal-cnn-niu-afadlite.ipynb 33KB softmax-regression-mlxtend-1.ipynb 32KB cnn-vgg16.ipynb 31KB cnn-resnet34-mnist.ipynb 31KB cnn-vgg19.ipynb 31KB cnn-resnet18-mnist.ipynb 31KB cnn-resnet34-cifar10-pinmem.ipynb 30KB file-queues.ipynb 29KB cnn-lenet5-mnist.ipynb 29KB custom-data-loader-quickdraw.ipynb 29KB rnn_lstm_packed_own_csv_imdb.ipynb 27KB custom-dataloader-example.ipynb 26KB custom-data-loader-mnist.ipynb 26KB custom-data-loader-svhn.ipynb 26KB cnn-vgg16.ipynb 26KB gradient-checkpointing-nin.ipynb 25KB char_rnn-charlesdickens.ipynb 25KB mlp-sequential.ipynb 23KB cnn-lenet5-cifar10.ipynb 22KB cnn-weight-sharing.ipynb 21KB mlp-batchnorm.ipynb 21KB mlp-dropout.ipynb 21KB cnn-standardized.ipynb 21KB mlp-basic.ipynb 21KB共 170 条
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