Tenserflow 1.0.0
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：17964KB
下载次数：8
上传日期：2019-07-11 18:58:27
上 传 者：
zilinghui
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)
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