Deep-Speeling:深度学习神经网络可纠正拼写

[{"title":"（ 42 个子文件 93.39MB ） Deep-Speeling:深度学习神经网络可纠正拼写","children":[{"title":"Deep-Speeling-master","children":[{"title":"large_graph","children":[{"title":"graph_params <span style='color:#111;'> 3B </span>","children":null,"spread":false},{"title":"sourceinttoletter.json <span style='color:#111;'> 765B </span>","children":null,"spread":false},{"title":"best_model.ckpt.index <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"targetinttoletter.json <span style='color:#111;'> 743B </span>","children":null,"spread":false},{"title":"targetlettertoint.json <span style='color:#111;'> 609B </span>","children":null,"spread":false},{"title":"sourcelettertoint.json <span style='color:#111;'> 627B </span>","children":null,"spread":false},{"title":"best_model.ckpt.meta <span style='color:#111;'> 889.94KB </span>","children":null,"spread":false},{"title":"best_model.ckpt.data-00000-of-00001 <span style='color:#111;'> 97.48MB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 87B </span>","children":null,"spread":false}],"spread":true},{"title":".gitattributes <span style='color:#111;'> 176B </span>","children":null,"spread":false},{"title":"helper.py <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"targets_after_processing_1.png <span style='color:#111;'> 138.89KB </span>","children":null,"spread":false},{"title":"targets_add_go.png <span style='color:#111;'> 178.09KB </span>","children":null,"spread":false},{"title":"embed_sequence.png <span style='color:#111;'> 254.22KB </span>","children":null,"spread":false},{"title":"sequence-to-sequence-training-decoder.png <span style='color:#111;'> 391.98KB </span>","children":null,"spread":false},{"title":"MarquisdeFavras.jpg <span style='color:#111;'> 36.78KB </span>","children":null,"spread":false},{"title":"strided_slice_1.png <span style='color:#111;'> 211.13KB </span>","children":null,"spread":false},{"title":"sequence-to-sequence-inference-decoder.png <span style='color:#111;'> 412.71KB </span>","children":null,"spread":false},{"title":"source_and_target_arrays.png <span style='color:#111;'> 247.24KB </span>","children":null,"spread":false},{"title":"sequence-to-sequence.jpg <span style='color:#111;'> 36.54KB </span>","children":null,"spread":false},{"title":"target_batch.png <span style='color:#111;'> 174.58KB </span>","children":null,"spread":false},{"title":"logits.png <span style='color:#111;'> 369.81KB </span>","children":null,"spread":false},{"title":"source_batch.png <span style='color:#111;'> 188.25KB </span>","children":null,"spread":false},{"title":"embeddings.png <span style='color:#111;'> 322.47KB </span>","children":null,"spread":false},{"title":"encoder.png <span style='color:#111;'> 195.48KB </span>","children":null,"spread":false},{"title":"targets_1.png <span style='color:#111;'> 151.66KB </span>","children":null,"spread":false}],"spread":false},{"title":"Test dataset accuracy.xlsx <span style='color:#111;'> 38.60KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 882B </span>","children":null,"spread":false},{"title":"small_graph","children":[{"title":"graph_params <span style='color:#111;'> 3B </span>","children":null,"spread":false},{"title":"sourceinttoletter.json <span style='color:#111;'> 335B </span>","children":null,"spread":false},{"title":"targetinttoletter.json <span style='color:#111;'> 335B </span>","children":null,"spread":false},{"title":"targetlettertoint.json <span style='color:#111;'> 275B </span>","children":null,"spread":false},{"title":"sourcelettertoint.json <span style='color:#111;'> 275B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"deep_speeling.py <span style='color:#111;'> 52.28KB </span>","children":null,"spread":false},{"title":"Small data training results.xlsx <span style='color:#111;'> 29.28KB </span>","children":null,"spread":false},{"title":"Training results.xlsx <span style='color:#111;'> 592.69KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"letters_target.txt <span style='color:#111;'> 49.03KB </span>","children":null,"spread":false},{"title":"letters_source.txt <span style='color:#111;'> 49.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"deep_speeling.ipynb <span style='color:#111;'> 154.68KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"output_small.txt <span style='color:#111;'> 50.90KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]