文件名称：Deep Learning with Theano
文件大小：1.67MB
文件格式：ZIP
更新时间：2020-08-25 16:40:24
Theano 深度学习
Deep Learning with Theano Christopher Bourez July 2017 Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models.
【文件预览】：
DeepLearningwithTheano_Code
----README.txt(169B)
----Chapter03()
--------1-train-CBOW.py(7KB)
--------utils.py(480B)
--------2-plot.py(1KB)
--------model.py(2KB)
--------3-evaluate.py(4KB)
--------questions-words.txt(590KB)
----Software list.pdf(80KB)
----Chapter06()
--------3-recurrent-stn-mnist.py(8KB)
--------mnist_cnn.py(1KB)
--------plot_crops.py(5KB)
--------2-stn-cnn-mnist.py(7KB)
--------4-train_unsupervised.py(207B)
--------confusionmatrix.py(4KB)
--------create_mnist_sequence.py(6KB)
--------plot_data.py(697B)
--------1-train-mnist.py(4KB)
----Chapter05()
--------sem_eval2103.train(886KB)
--------download_tweets.py(2KB)
--------sem_eval2103.test(413KB)
--------bilstm.py(5KB)
--------sem_eval2103.dev(95KB)
----Chapter04()
--------models()
--------utils.py(1KB)
--------data()
--------train.py(3KB)
--------predict.py(2KB)
--------lstm_h500_e150_voc1500.png(19KB)
--------lstm_h500_e150_voc9000.png(19KB)
--------load.py(2KB)
--------plot.py(816B)
--------models.png(29KB)
--------hidden_size.png(50KB)
----Chapter11()
--------1-train.py(10KB)
--------2-play.py(2KB)
--------requirements.txt(44B)
--------model.py(797B)
--------0-gym-api.py(250B)
----Chapter02()
--------3-cnn.py(5KB)
--------6-display-activation-functions.py(1KB)
--------5-cnn-with-dropout.py(5KB)
--------4-plot.py(664B)
--------2-multi.py(4KB)
--------1-simple.py(3KB)
----Chapter13()
--------2-pygpu-example.py(584B)
--------5-C-gpu-op.py(4KB)
--------7-google-cloud()
--------5a-C-gpu-op-from-theano.py(342B)
--------1-python-op.py(1KB)
--------setup.py(270B)
--------4-C-cpu-op.py(4KB)
--------3-python-gpu-op.py(2KB)