NLP-Demo全套代码及数据

[{"title":"（ 23 个子文件 356.10MB ） NLP-Demo全套代码及数据","children":[{"title":"NLP-Demo","children":[{"title":"runs","children":[{"title":"CNN_with_vocab","children":[{"title":"events.out.tfevents.1587109755.pc.6802.0 <span style='color:#111;'> 35.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"RNN_with_glove_vocab","children":[{"title":"events.out.tfevents.1587109557.pc.6594.0 <span style='color:#111;'> 18.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"MLP_with_vocab","children":[{"title":"events.out.tfevents.1586432362.pc.3152.0 <span style='color:#111;'> 204.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"CNN_with_glove","children":[{"title":"events.out.tfevents.1587380565.pc.2560.0 <span style='color:#111;'> 35.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"MLP_with_glove_vocab","children":[{"title":"events.out.tfevents.1587108363.pc.3752.0 <span style='color:#111;'> 204.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"CNN_with_glove_vocab","children":[{"title":"events.out.tfevents.1587110197.pc.7341.0 <span style='color:#111;'> 35.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"RNN_with_vocab","children":[{"title":"events.out.tfevents.1586432076.pc.3036.0 <span style='color:#111;'> 18.55KB </span>","children":null,"spread":false}],"spread":true},{"title":"myRNN_with_vocab","children":[{"title":"events.out.tfevents.1587355296.pc.6957.0 <span style='color:#111;'> 33.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"myRNN_with_glove","children":[{"title":"events.out.tfevents.1587354671.pc.6511.0 <span style='color:#111;'> 33.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"myRNN_with_glove_vocab","children":[{"title":"events.out.tfevents.1587352986.pc.5579.0 <span style='color:#111;'> 33.23KB </span>","children":null,"spread":false}],"spread":true},{"title":"MLP_with_glove","children":[{"title":"events.out.tfevents.1587383382.pc.4564.0 <span style='color:#111;'> 204.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"RNN_with_glove","children":[{"title":"events.out.tfevents.1587356744.pc.7732.0 <span style='color:#111;'> 33.28KB </span>","children":null,"spread":false}],"spread":true}],"spread":false},{"title":"models.py <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 2.69KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 287B </span>","children":null,"spread":false},{"title":"GloVe","children":[{"title":"glove.6B.300d.txt <span style='color:#111;'> 989.88MB </span>","children":null,"spread":false}],"spread":true},{"title":"config.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"vocab.txt <span style='color:#111;'> 835.64KB </span>","children":null,"spread":false},{"title":"train_X.txt <span style='color:#111;'> 7.09MB </span>","children":null,"spread":false},{"title":"test_X.txt <span style='color:#111;'> 1.42MB </span>","children":null,"spread":false},{"title":"train_Y.txt <span style='color:#111;'> 292.97KB </span>","children":null,"spread":false},{"title":"test_Y.txt <span style='color:#111;'> 58.59KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]