文件名称：Pytorch_Fast_Campus_2018:Fast Campus Py Torch（2018 127〜）练习资料
文件大小：4.86MB
文件格式：ZIP
更新时间：2024-06-05 16:40:51
JupyterNotebook
快速校园Py火炬练习材料
【文件预览】：
Pytorch_Fast_Campus_2018-master
----week7()
--------1_TorchText.ipynb(10KB)
--------3_LSTM_NER.ipynb(9KB)
--------2_RNN_basic.ipynb(25KB)
----week8()
--------4_Attention.ipynb(11KB)
--------3_Seq2Seq_bucket_padding.ipynb(11KB)
--------attention.py(3KB)
--------2_Pack_Unpack_Sequence.ipynb(12KB)
--------4_Seq2Seq_Attention.ipynb(12KB)
--------1_Seq2Seq_basic.ipynb(9KB)
----week_10()
--------1_Conv1d_ModuleList.ipynb(2KB)
--------4_CoAttention.ipynb(2KB)
--------3_Dynamic_Memory_Network.ipynb(17KB)
--------bAbI_data_utils.py(5KB)
--------2_CNN_Text_Classifier.ipynb(12KB)
----week1()
--------week1_review.ipynb(32KB)
--------1_Pytorch_basic.ipynb(36KB)
--------2_DL_Frameworks.ipynb(5KB)
--------3_Pytorch_op_practice_1.ipynb(7KB)
----week2()
--------5_Neural_network.ipynb(27KB)
--------2_Data_loader.ipynb(13KB)
--------4_XOR_problem.ipynb(5KB)
--------1_Linear_regression.ipynb(118KB)
--------logstic_data.csv(4KB)
--------3_Logistic_regression.ipynb(32KB)
----week4()
--------image_samples()
--------1_CNN_Basic.ipynb(36KB)
--------imagenet_class.json(31KB)
--------5_Transfer_Learning.ipynb(1.28MB)
--------4_VGGNET_CIFAR10.ipynb(75KB)
--------2_Visualizing_features.ipynb(56KB)
--------3_Image_Preprocessing.ipynb(2.14MB)
----.gitignore(43B)
----week5()
--------image_samples()
--------3_CNN_실습.ipynb(25KB)
--------port.info(466B)
--------2_ResNet.ipynb(9KB)
--------1_GoogLeNet.ipynb(11KB)
----week6()
--------1_Bag_of_Words.ipynb(15KB)
--------image()
--------2_Embedding_basic.ipynb(10KB)
--------4_Skip_gram_basic.ipynb(10KB)
--------port.info(466B)
--------6_Using_Pretrained_Word_Vector.ipynb(12KB)
--------5_Skip-gram-Negative-Sampling.ipynb(25KB)
--------3_TorchText_1.ipynb(11KB)
----week9()
--------images()
--------1_Simple_AutoEncoder.ipynb(49KB)
--------4_GAN.ipynb(37KB)
--------5_LSGAN.ipynb(4KB)
--------3_Variational_AutoEncoder.ipynb(21KB)
--------2_Denosing_AutoEncoder.ipynb(49KB)
----README.md(46B)
----scripts()
--------docker-compose.yml(154B)
----week3()
--------6_Advanced_SGD.ipynb(8KB)
--------3_Dropout.ipynb(9KB)
--------weight_decay_data.csv(4KB)
--------5_Batch_Norm.ipynb(10KB)
--------8_FFN_실습.ipynb(8KB)
--------port.info(466B)
--------4_Weight_initialization.ipynb(13KB)
--------2_Weight_decay.ipynb(58KB)
--------7_Learning_rate_scheduling.ipynb(7KB)
--------1_TensorboardX.ipynb(6KB)