小编eil*_*lan的帖子

我需要帮助从数据库上运行的tensorflow中获取张量板,我的代码如下(一切都在datalab上):

import tensorflow as tf

with tf.name_scope('input'):
  print ("X_np")
  X_np = tf.placeholder(tf.float32, shape=[None, num_of_features],name="input")

with tf.name_scope('weights'):
  print ("W is for weights & - 15 number of diseases")
  W = tf.Variable(tf.zeros([num_of_features,15]),name="W")

with tf.name_scope('biases'):
  print ("b")
  #todo:authemate for more diseases
  b = tf.Variable(tf.zeros([15]),name="biases")

with tf.name_scope('layer'):
  print ("y_train_np")
  y_train_np = tf.nn.softmax(tf.matmul(X_np,W) + b)

with tf.name_scope('correct'):
  print ("y_ - placeholder for correct answer")
  y_ = tf.placeholder(tf.float32, shape=[None, 15],name="correct_answer")

with tf.name_scope('loss'):
  print ("cross entrpy")
  cross_entropy = -tf.reduce_sum(y_*tf.log(y_train_np))

# % of correct answers found in batch …