小编Xiu*_*anc的帖子

我尝试使用tensorboard来使用DNN可视化图像分类器.我非常确定目录路径是正确的,但是没有显示数据.当我尝试 tensorboard --inspect --logdir='PATH/' 返回时:在logdir'PATH /'中找不到任何事件文件

我想我的编码一定有问题.

图形

batch_size = 500

graph = tf.Graph()
with graph.as_default():

  # Input data. For the training data, we use a placeholder that will be fed
  # at run time with a training minibatch.
  with tf.name_scope('train_input'):
    tf_train_dataset = tf.placeholder(tf.float32,
                                      shape=(batch_size, image_size * image_size),
                                      name = 'train_x_input')

    tf_train_labels = tf.placeholder(tf.float32, shape=(batch_size, num_labels),
                                     name = 'train_y_input')
  with tf.name_scope('validation_input'):
    tf_valid_dataset = tf.constant(valid_dataset, name = 'valid_x_input')
    tf_test_dataset = tf.constant(test_dataset, name = 'valid_y_input')

  # Variables.
  with tf.name_scope('layer'):
    with tf.name_scope('weights'):
        weights …