深度学习框架Tensorflow学习与应用

• file:第一周.pdf
• file:Anaconda3-4.2.0-Windows-x86_64.exe
• file:3.tensorflow安装.mp4
• file:2.Anaconda安装.mp4
• file:mnist_10k_sprite.png
• file:5-4.mp4
• file:5-1第四周作业.py
• file:Optimizer.pdf
• file:10-3.mp4
• file:audio.zip
• file:MNIST_data.zip
• file:卷积.gif
• file:cudnn-8.0-windows10-x64-v5.1.zip
• file:4-3优化器.py
• file:4-2Dropout.py
• file:4-1交叉熵.py
• file:10-4captcha_test.py
• file:10-3验证码识别.py
• file:10-2生成tfrecord文件.py
• file:10-1验证码生成.ipynb
• file:__init__.pyc
• file:vgg_test.py
• file:vgg.pyc
• file:resnet_v2_test.py
• file:resnet_v2.pyc
• file:resnet_utils.pyc
• file:overfeat_test.py
• file:overfeat.pyc
• file:nets_factory_test.py
• file:nets_factory.pyc
• file:11-3simple_word2vec.ipynb
• file:11-2第十周作业-验证码测试.ipynb
• file:text_cnn.py
• file:12声音分类.py
• file:12-1第十一周作业.py
• file:3-2MNIST数据集分类简单版本.py
• file:3-1非线性回归.py
• file:7-2递归神经网络RNN.py
• file:7-1第六周作业.ipynb
• file:5-4tensorboard可视化.py
• file:5-3tensorboard网络运行.ipynb
• file:train.bat
• file:9-2生成tfrecord.ipynb
• file:9-1测试训练好的模型.py
• file:8-4使用inception-v3做各种图像的识别.py
• file:8-3下载google图像识别网络inception-v3并查看结构.py
• file:8-2saver_restore.py
• file:8-1saver_save.py
• file:__init__.cpython-35.pyc
• file:vgg.cpython-35.pyc
• file:resnet_v2.cpython-35.pyc
• file:overfeat.cpython-35.pyc
• file:nets_factory.cpython-35.pyc
• file:inception_v4.cpython-35.pyc
• file:inception_resnet_v2.cpython-35.pyc
• file:cifarnet.cpython-35.pyc
• file:train.py
• file:README.md
• file:LICENSE
• file:eval.py
• file:data_helpers.pyc
• file:.gitignore
• file:.DS_Store
• file:myimages.py
• file:dataset_factory.py
• file:text_cnn.cpython-35.pyc
• file:data_helpers.cpython-35.pyc
• file:train-checkpoint.ipynb
• file:rt-polarity.pos