import?tensorflow?as?tf

INPUT_NODE?=?784
OUTPUT_NODE?=?10
layer1_NODE?=?500

def?get_weight_variable（shape?regularizer）:
????weights?=?tf.get_variable（“weights“?shape?initializer=tf.truncated_normal_initializer（stddev=0.1））
????if?regularizer?!=?None:?tf.add_to_collection（‘losses‘?regularizer（weights））
????return?weights


def?inference（input_tensor?regularizer）:
????with?tf.variable_scope（‘layer1‘）:

????????weights?=?get_weight_variable（[INPUT_NODE?layer1_NODE]?regularizer）
????????biases?=?tf.get_variable（“biases“?[layer1_NODE]?initializer=tf.constant_initializer（0.0））
????????layer1?=?tf.nn.relu（tf.matmul（input_tensor?weights）?+?biases）

????with?tf.variable_scope（‘layer2‘）:
????????weights?=?get_weight_variable（[layer1_NODE?OUTPUT_NODE]?regularizer）
????????biases?=?tf.get_variable（“biases“?[OUTPUT_NODE]?initializer=tf.constant_initializer（0.0））
????????layer2?=?tf.matmul（layer1?weights）?+?biases

????return?layer2

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-03-04?19:44??1.0.0\
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter03\
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter03\.ipynb_checkpoints\
?????文件????????5345??2017-03-04?19:44??1.0.0\Chapter03\.ipynb_checkpoints\1.?圖，張量及會話-checkpoint.ipynb
?????文件????????3532??2017-03-04?19:44??1.0.0\Chapter03\.ipynb_checkpoints\2.?三層簡單神經網絡的前向傳播算法-checkpoint.ipynb
?????文件????????4340??2017-03-04?19:44??1.0.0\Chapter03\.ipynb_checkpoints\3.?完整神經網絡樣例程序-checkpoint.ipynb
?????文件????????5345??2017-03-04?19:44??1.0.0\Chapter03\1.?圖，張量及會話.ipynb
?????文件????????3532??2017-03-04?19:44??1.0.0\Chapter03\2.?三層簡單神經網絡的前向傳播算法.ipynb
?????文件????????4340??2017-03-04?19:44??1.0.0\Chapter03\3.?完整神經網絡樣例程序.ipynb
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter04\
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter04\.ipynb_checkpoints\
?????文件????????7346??2017-03-04?19:44??1.0.0\Chapter04\.ipynb_checkpoints\1.?自定義損失函數-checkpoint.ipynb
?????文件????????5671??2017-03-04?19:44??1.0.0\Chapter04\.ipynb_checkpoints\2.?學習率的設置-checkpoint.ipynb
?????文件??????135198??2017-03-04?19:44??1.0.0\Chapter04\.ipynb_checkpoints\3.?正則化-checkpoint.ipynb
?????文件????????2359??2017-03-04?19:44??1.0.0\Chapter04\.ipynb_checkpoints\4.?滑動平均模型-checkpoint.ipynb
?????文件????????7346??2017-03-04?19:44??1.0.0\Chapter04\1.?自定義損失函數.ipynb
?????文件????????5671??2017-03-04?19:44??1.0.0\Chapter04\2.?學習率的設置.ipynb
?????文件??????135198??2017-03-04?19:44??1.0.0\Chapter04\3.?正則化.ipynb
?????文件????????2359??2017-03-04?19:44??1.0.0\Chapter04\4.?滑動平均模型.ipynb
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter05\
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\
?????文件???????13671??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\1.?MNIST讀取數據-checkpoint.ipynb
?????文件????????7687??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\2.?TensorFlow訓練神經網絡-checkpoint.ipynb
?????文件????????3890??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\3.?變量管理-checkpoint.ipynb
?????文件????????2872??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\4.1.?ckpt文件保存方法-checkpoint.ipynb
?????文件????????2919??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\4.2.1?滑動平均類的保存-checkpoint.ipynb
?????文件????????1197??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\4.2.2?variables_to_restore函數的使用樣例-checkpoint.ipynb
?????文件????????2422??2017-03-04?19:44??1.0.0\Chapter05\.ipynb_checkpoints\4.3.?pb文件保存方法-checkpoint.ipynb
?????文件???????13671??2017-03-04?19:44??1.0.0\Chapter05\1.?MNIST讀取數據.ipynb
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter05\2.?TensorFlow訓練神經網絡\
?????目錄???????????0??2017-03-04?19:44??1.0.0\Chapter05\2.?TensorFlow訓練神經網絡\.ipynb_checkpoints\
............此處省略97個文件信息