├── .gitattributes ├── .idea ├── deployment.xml ├── inspectionProfiles │ └── Project_Default.xml ├── learning_materials.iml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── .ipynb_checkpoints ├── 1-计算图的创建与启动-checkpoint.ipynb ├── 10-循环神经网络（RNN）-checkpoint.ipynb ├── 11-模型的保存与恢复-checkpoint.ipynb ├── 2-变量的定义及其操作-checkpoint.ipynb ├── 3-Feed与Fetch-checkpoint.ipynb ├── 4-线性回归-checkpoint.ipynb ├── 5-构建非线性回归模型-checkpoint.ipynb ├── 6-简单分类问题-checkpoint.ipynb ├── 7-Dropout与优化器-checkpoint.ipynb ├── 8-学习率的调整与TensorBoard-checkpoint.ipynb └── 9-卷积神经网络（CNN）-checkpoint.ipynb ├── 1-计算图的创建与启动.ipynb ├── 10-循环神经网络（RNN）.ipynb ├── 11-模型的保存与恢复.ipynb ├── 2-变量的定义及其操作.ipynb ├── 3-Feed与Fetch.ipynb ├── 4-线性回归.ipynb ├── 5-构建非线性回归模型.ipynb ├── 6-简单分类问题.ipynb ├── 7-Dropout与优化器.ipynb ├── 8-学习率的调整与TensorBoard.ipynb ├── 9-卷积神经网络（CNN）.ipynb ├── MNIST ├── t10k-images-idx3-ubyte.gz ├── t10k-labels-idx1-ubyte.gz ├── train-images-idx3-ubyte.gz └── train-labels-idx1-ubyte.gz ├── README.md └── saved_model ├── 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