文件名称：DeepLearningTutorial:深度学习代码
文件大小：4.63MB
文件格式：ZIP
更新时间：2024-03-31 05:05:33
JupyterNotebook
DeepLearningTutorial:深度学习代码
【文件预览】：
DeepLearningTutorial-master
----Python_Basis()
--------.ipynb_checkpoints()
--------Basis_Advance.ipynb(13KB)
--------Basis.ipynb(11KB)
--------text.txt(60B)
--------__pycache__()
--------test.py(32B)
--------tx.txt(15B)
--------Basis_high_ranking.ipynb(160KB)
----MLP()
--------.ipynb_checkpoints()
--------MLP.ipynb(60KB)
--------MLP_Text.ipynb(564KB)
----GAN()
--------.ipynb_checkpoints()
--------GAN.ipynb(113KB)
----Transfer_learning()
--------.ipynb_checkpoints()
--------Transfer_learning_cnn_image.ipynb(54KB)
--------Trasnfer_learning_cnn_regression.ipynb(38KB)
----Neat()
--------neat-checkpoint-79(109KB)
--------.ipynb_checkpoints()
--------neat-checkpoint-114(129KB)
--------Digraph.gv(1KB)
--------neat-checkpoint-39(48KB)
--------neat-checkpoint-104(116KB)
--------neat-checkpoint-34(44KB)
--------neat-checkpoint-49(61KB)
--------config-feedforward(2KB)
--------neat-checkpoint-94(131KB)
--------xor.py(2KB)
--------neat-checkpoint-84(121KB)
--------neat-checkpoint-64(88KB)
--------neat-checkpoint-119(135KB)
--------neat-checkpoint-24(30KB)
--------avg_fitness.svg(43KB)
--------Digraph.gv.svg(6KB)
--------neat-checkpoint-29(37KB)
--------neat-checkpoint-14(57KB)
--------__pycache__()
--------visualize.py(6KB)
--------neat-checkpoint-19(58KB)
--------neat-checkpoint-109(122KB)
--------xor.ipynb(349KB)
--------neat-checkpoint-74(99KB)
--------speciation.svg(727KB)
--------neat-checkpoint-4(57KB)
--------neat-checkpoint-99(111KB)
--------neat-checkpoint-54(69KB)
--------neat-checkpoint-89(123KB)
--------neat-checkpoint-59(81KB)
--------neat-checkpoint-44(53KB)
--------neat-checkpoint-9(57KB)
--------neat-checkpoint-69(92KB)
--------neat-checkpoint-124(135KB)
----LSTM()
--------LSTM_poem_robot.ipynb(3.45MB)
----EDEN()
--------.ipynb_checkpoints()
--------EDEN-DEBUG.ipynb(30KB)
----AutoEncoder()
--------.ipynb_checkpoints()
--------AutoEncoder.ipynb(306KB)
----CNN()
--------.ipynb_checkpoints()
--------Tradition_cnn_image.ipynb(49KB)
--------CNN_text.ipynb(563KB)