基于python3 tensorflow DBN_and_RNN的实现

[{"title":"（ 29 个子文件 11.87MB ） 基于python3 tensorflow DBN_and_RNN的实现","children":[{"title":"DBN_and_RNN","children":[{"title":"input_data.py <span style='color:#111;'> 7.04KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 720B </span>","children":null,"spread":false},{"title":"rbm_MNIST_test.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"rbm_tf.py <span style='color:#111;'> 5.89KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"input_data.cpython-37.pyc <span style='color:#111;'> 5.96KB </span>","children":null,"spread":false},{"title":"util.cpython-35.pyc <span style='color:#111;'> 3.24KB </span>","children":null,"spread":false},{"title":"rbm_tf.cpython-35.pyc <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"input_data.cpython-35.pyc <span style='color:#111;'> 6.50KB </span>","children":null,"spread":false},{"title":"nn_tf.cpython-35.pyc <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"dbn_tf.cpython-35.pyc <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"opts.cpython-35.pyc <span style='color:#111;'> 944B </span>","children":null,"spread":false}],"spread":true},{"title":"util.py <span style='color:#111;'> 5.06KB </span>","children":null,"spread":false},{"title":"nn_tf.py <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 345B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 258B </span>","children":null,"spread":false},{"title":"DBN.iml <span style='color:#111;'> 361B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 10.96KB </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 562B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"rbm.py <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 44B </span>","children":null,"spread":false},{"title":"dbn_tf.py <span style='color:#111;'> 910B </span>","children":null,"spread":false},{"title":"股票数据.xlsx <span style='color:#111;'> 821.66KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 236B </span>","children":null,"spread":false},{"title":"使用说明.txt <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":"MNIST_data","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false}],"spread":false},{"title":"opts.py <span style='color:#111;'> 868B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]