文件名称：PyTorch_CSX:PyTorch Taipei & NTU CS+X 读书会
文件大小：26.32MB
文件格式：ZIP
更新时间：2024-06-05 08:49:40
JupyterNotebook
PyTorch_CSX PyTorch Taipei & NTU CS+X 读书会 [自愿报名实做教学表单] (内容可以一起讨论，助教们会优先帮忙)： 时间：2018/03/01 ~ 2018/06/28，每周四晚上七点到九点 地点：台大普通大楼305 教室，可容纳100 人 NTU CS+X 成员：Pecu, JiYu, ChangRun, JunHao PyTorch教学： 2018/03/08: Pecu & JunHao, PyTorch Basic more examples: 2018/03/15: ChangRun, AlexNet Example more examples: 2018/03/22: JiYu, Learning PyTorch with Examples more examples: 2018/03/29: JunHao, RNN (R
【文件预览】：
PyTorch_CSX-master
----02_AlexNet()
--------alexnet.pdf(560KB)
--------train()
--------readme.md(59B)
--------AlexNet.py(5KB)
----03_Learning_PyTorch_with_Examples()
--------c1_two_layer_net_numpy.ipynb(37KB)
--------c9_nn_dynamic_net.ipynb(21KB)
--------c5_autograd_two_layer_net.ipynb(15KB)
--------c8_nn_two_layer_net_module.ipynb(21KB)
--------c2_autograd_two_layer_net_tensor.ipynb(20KB)
--------c7_nn_two_layer_net_optim.ipynb(21KB)
--------c4_autograd_two_layer_net_custom_function.ipynb(22KB)
--------c3_autograd_two_layer_net_autograd.ipynb(40KB)
--------README.md(151B)
--------c6_nn_two_layer_net_nn.ipynb(41KB)
----04_RNN()
--------imgs()
--------rnn_tutorial.ipynb(15KB)
--------.ipynb_checkpoints()
--------README.md(348B)
----07_Automated_Reasoning()
--------code()
--------20180426talk.pdf(2.23MB)
----08_DQN()
--------Hello.ipynb(877B)
--------reinforcement_q_learning.ipynb(19KB)
--------DQN_cartPole.ipynb(30KB)
----01_PyTorch_Basic()
--------01_TensorDef.ipynb(4KB)
--------A-convolutional-neural-networks-CNN.png(16KB)
--------02_NonlinearFunc.ipynb(64KB)
--------MNIST()
--------03_NeuralNetworksBasic.ipynb(11KB)
--------LeNet.png(123KB)
----05_Deep_Residual_Network()
--------main.py(5KB)
--------main-gpu.py(5KB)
----10_VAE()
--------VAE_MNIST_PYTORCH.py(4KB)
--------data_read_in.py(1KB)
--------README.md(240B)
----09_Attention_seq2seq()
--------basic_seq2seq.ipynb(34KB)
--------config()
--------image()
--------dataset()
--------simple_S2VT.ipynb(628KB)
--------Basic_concept.ipynb(13KB)
--------Attention.ipynb(5KB)
--------README.md(459B)
----README.md(1KB)
----06_Natural_Language_Processing()
--------word-embedding.py(494B)
--------n-gram.py(3KB)