Tenserflow 1.0.0
代码说明:
说明: Tensorflow 实战Google深度学习框架 书籍的全部例程代码!(Tensorflow Actual Google Deep Learning Framework Books all the routine code!)
文件列表:
Tenserflow 1.0.0\Chapter03\.ipynb_checkpoints\1. 图,张量及会话-checkpoint.ipynb, 5345 , 2017-09-14
Tenserflow 1.0.0\Chapter03\.ipynb_checkpoints\2. 三层简单神经网络的前向传播算法-checkpoint.ipynb, 3532 , 2017-09-14
Tenserflow 1.0.0\Chapter03\.ipynb_checkpoints\3. 完整神经网络样例程序-checkpoint(1).ipynb, 4340 , 2017-09-14
Tenserflow 1.0.0\Chapter03\1. 图,张量及会话.ipynb, 5345 , 2017-09-14
Tenserflow 1.0.0\Chapter03\2. 三层简单神经网络的前向传播算法.ipynb, 3532 , 2017-09-14
Tenserflow 1.0.0\Chapter03\3. 完整神经网络样例程序.ipynb, 4340 , 2017-09-14
Tenserflow 1.0.0\Chapter04\.ipynb_checkpoints\1. 自定义损失函数-checkpoint.ipynb, 7346 , 2017-09-14
Tenserflow 1.0.0\Chapter04\.ipynb_checkpoints\2. 学习率的设置-checkpoint.ipynb, 5671 , 2017-09-14
Tenserflow 1.0.0\Chapter04\.ipynb_checkpoints\3. 正则化-checkpoint.ipynb, 135198 , 2017-09-14
Tenserflow 1.0.0\Chapter04\.ipynb_checkpoints\4. 滑动平均模型-checkpoint.ipynb, 2359 , 2017-09-14
Tenserflow 1.0.0\Chapter04\1. 自定义损失函数.ipynb, 7346 , 2017-09-14
Tenserflow 1.0.0\Chapter04\2. 学习率的设置.ipynb, 5671 , 2017-09-14
Tenserflow 1.0.0\Chapter04\3. 正则化.ipynb, 135198 , 2017-09-14
Tenserflow 1.0.0\Chapter04\4. 滑动平均模型.ipynb, 2359 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\1. MNIST读取数据-checkpoint.ipynb, 13671 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\2. TensorFlow训练神经网络-checkpoint.ipynb, 7687 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\3. 变量管理-checkpoint.ipynb, 3890 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\4.1. ckpt文件保存方法-checkpoint.ipynb, 2872 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\4.2.1 滑动平均类的保存-checkpoint.ipynb, 2919 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\4.2.2 variables_to_restore函数的使用样例-checkpoint.ipynb, 1197 , 2017-09-14
Tenserflow 1.0.0\Chapter05\.ipynb_checkpoints\4.3. pb文件保存方法-checkpoint.ipynb, 2422 , 2017-09-14
Tenserflow 1.0.0\Chapter05\1. MNIST读取数据.ipynb, 13671 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\1. 全模型-checkpoint.ipynb, 7725 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\2. 不使用正则化-checkpoint.ipynb, 7529 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\3. 不使用指数衰减的学习率-checkpoint.ipynb, 7367 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\4. 不使用激活函数-checkpoint.ipynb, 7701 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\5. 不使用隐藏层-checkpoint.ipynb, 7260 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\.ipynb_checkpoints\6. 不使用滑动平均-checkpoint.ipynb, 7318 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\1. 全模型.ipynb, 7725 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\2. 不使用正则化.ipynb, 7529 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\3. 不使用指数衰减的学习率.ipynb, 7367 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\4. 不使用激活函数.ipynb, 7701 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\5. 不使用隐藏层.ipynb, 7260 , 2017-09-14
Tenserflow 1.0.0\Chapter05\2. TensorFlow训练神经网络\6. 不使用滑动平均.ipynb, 7318 , 2017-09-14
Tenserflow 1.0.0\Chapter05\3. 变量管理.ipynb, 3890 , 2017-09-14
Tenserflow 1.0.0\Chapter05\4.1. ckpt文件保存方法.ipynb, 2872 , 2017-09-14
Tenserflow 1.0.0\Chapter05\4.2.1 滑动平均类的保存.ipynb, 2919 , 2017-09-14
Tenserflow 1.0.0\Chapter05\4.2.2 variables_to_restore函数的使用样例.ipynb, 1197 , 2017-09-14
Tenserflow 1.0.0\Chapter05\4.3. pb文件保存方法.ipynb, 2422 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\.ipynb_checkpoints\mnist_eval-checkpoint.ipynb, 4970 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\.ipynb_checkpoints\mnist_inference-checkpoint.ipynb, 2548 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\.ipynb_checkpoints\mnist_train-checkpoint.ipynb, 6929 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\Data_sets\MNIST_data\train-images-idx3-ubyte.gz, 9912422 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\Data_sets\MNIST_data\train-labels-idx1-ubyte.gz, 28881 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\mnist_eval.ipynb, 4959 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\mnist_inference.ipynb, 2548 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\mnist_inference.py, 949 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\MNIST_model\README, 39 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\mnist_train.ipynb, 6926 , 2017-09-14
Tenserflow 1.0.0\Chapter05\5. MNIST最佳实践\mnist_train.py, 2199 , 2017-09-14
Tenserflow 1.0.0\Chapter05\Saved_model\README, 29 , 2017-09-14
Tenserflow 1.0.0\Chapter06\.ipynb_checkpoints\1. 卷积层、池化层样例-checkpoint.ipynb, 3614 , 2017-09-14
Tenserflow 1.0.0\Chapter06\.ipynb_checkpoints\2. 迁移学习-checkpoint.ipynb, 17215 , 2017-09-14
Tenserflow 1.0.0\Chapter06\1. 卷积层、池化层样例.ipynb, 3614 , 2017-09-14
Tenserflow 1.0.0\Chapter06\2. 迁移学习.ipynb, 17215 , 2017-09-14
Tenserflow 1.0.0\Chapter06\LeNet-5\.ipynb_checkpoints\LeNet5_infernece-checkpoint.ipynb, 4274 , 2017-09-14
Tenserflow 1.0.0\Chapter06\LeNet-5\.ipynb_checkpoints\LeNet5_train-checkpoint(1).ipynb, 5448 , 2017-09-14
Tenserflow 1.0.0\Chapter06\LeNet-5\LeNet5_infernece.ipynb, 4274 , 2017-09-14
Tenserflow 1.0.0\Chapter06\LeNet-5\LeNet5_infernece.py, 2637 , 2017-09-14
Tenserflow 1.0.0\Chapter06\LeNet-5\LeNet5_train.ipynb, 5448 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\1. TFRecord样例程序-checkpoint.ipynb, 3968 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\2.1. TensorFlow图像处理函数-checkpoint(1).ipynb, 3107055 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\2.2. 图像预处理完整样例-checkpoint.ipynb, 2137858 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\3. 队列操作-checkpoint.ipynb, 2891 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\4. 多线程队列操作-checkpoint.ipynb, 1792 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\5. 输入文件队列-checkpoint.ipynb, 4331 , 2017-09-14
Tenserflow 1.0.0\Chapter07\.ipynb_checkpoints\6. 输入数据处理框架-checkpoint.ipynb, 5706 , 2017-09-14
Tenserflow 1.0.0\Chapter07\1. TFRecord样例程序.ipynb, 3968 , 2017-09-14
Tenserflow 1.0.0\Chapter07\2.1. TensorFlow图像处理函数.ipynb, 3107055 , 2017-09-14
Tenserflow 1.0.0\Chapter07\2.2. 图像预处理完整样例.ipynb, 2137858 , 2017-09-14
Tenserflow 1.0.0\Chapter07\3. 队列操作.ipynb, 2891 , 2017-09-14
Tenserflow 1.0.0\Chapter07\4. 多线程队列操作.ipynb, 1792 , 2017-09-14
Tenserflow 1.0.0\Chapter07\5. 输入文件队列.ipynb, 4331 , 2017-09-14
Tenserflow 1.0.0\Chapter07\6. 输入数据处理框架.ipynb, 5706 , 2017-09-14
Tenserflow 1.0.0\Chapter07\Records\README, 25 , 2017-09-14
Tenserflow 1.0.0\Chapter08\.ipynb_checkpoints\1. 循环神经网络前向传播-checkpoint(1).ipynb, 2115 , 2017-09-14
Tenserflow 1.0.0\Chapter08\.ipynb_checkpoints\2. PTB数据集介绍-checkpoint.ipynb, 3652 , 2017-09-14
Tenserflow 1.0.0\Chapter08\.ipynb_checkpoints\3. 使用循环神经网络实现语言模型-checkpoint.ipynb, 10251 , 2017-09-14
Tenserflow 1.0.0\Chapter08\.ipynb_checkpoints\4. SKlearn封装例子-checkpoint.ipynb, 6697 , 2017-09-14
Tenserflow 1.0.0\Chapter08\.ipynb_checkpoints\5. 预测正弦函数-checkpoint.ipynb, 40816 , 2017-09-14
Tenserflow 1.0.0\Chapter08\1. 循环神经网络前向传播.ipynb, 2115 , 2017-09-14
Tenserflow 1.0.0\Chapter08\2. PTB数据集介绍.ipynb, 3652 , 2017-09-14
Tenserflow 1.0.0\Chapter08\3. 使用循环神经网络实现语言模型.ipynb, 10251 , 2017-09-14
Tenserflow 1.0.0\Chapter08\4. SKlearn封装例子.ipynb, 4745 , 2017-09-14
Tenserflow 1.0.0\Chapter08\5. 预测正弦函数.ipynb, 40764 , 2017-09-14
Tenserflow 1.0.0\Chapter08\Models\README, 29 , 2017-09-14
Tenserflow 1.0.0\Chapter08\reader.py, 4164 , 2017-09-14
Tenserflow 1.0.0\Chapter09\.ipynb_checkpoints\1. 命名空间-checkpoint.ipynb, 2427 , 2017-09-14
Tenserflow 1.0.0\Chapter09\.ipynb_checkpoints\2. 改造后的mnist_train-checkpoint(1).ipynb, 5657 , 2017-09-14
Tenserflow 1.0.0\Chapter09\.ipynb_checkpoints\3. 监控指标可视化-checkpoint.ipynb, 5801 , 2017-09-14
Tenserflow 1.0.0\Chapter09\1. 命名空间.ipynb, 2427 , 2017-09-14
Tenserflow 1.0.0\Chapter09\2. 改造后的mnist_train.ipynb, 5657 , 2017-09-14
Tenserflow 1.0.0\Chapter09\3. 监控指标可视化.ipynb, 5801 , 2017-09-14
Tenserflow 1.0.0\Chapter09\mnist_inference.py, 949 , 2017-09-14
Tenserflow 1.0.0\Chapter10\1. GPU基本操作.py, 975 , 2017-09-14
Tenserflow 1.0.0\Chapter10\2. 多GPU并行.py, 7031 , 2017-09-14
Tenserflow 1.0.0\Chapter10\3. 分布式TensorFlow.py, 856 , 2017-09-14
Tenserflow 1.0.0\Chapter10\4. 异步更新模式样例程序.py, 5550 , 2017-09-14
Tenserflow 1.0.0\Chapter10\5. 同步更新模式样例程序.py, 6100 , 2017-09-14
Tenserflow 1.0.0\Chapter10\mnist_inference.py, 949 , 2017-09-14
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