我寫了一個簡單的代碼來嘗試Tensorflow彙總功能。代碼如下。 import tensorflow as tf
import numpy as np
graph = tf.Graph()
with graph.as_default():
x = tf.placeholder(tf.float32, [1, 2], name='x')
W = tf.ones([2
使用Pimia印度人糖尿病數據集我已經建立了下列順序模型: import matplotlib.pyplot as plt
import numpy
from keras import callbacks
from keras import optimizers
from keras.layers import Dense
from keras.models import Sequent
我在玩TensorBoard,無法做出簡單的示例工作。計算只需添加兩個常量。 import tensorflow as tf
sess = tf.Session()
a = tf.constant(1, name = "const1")
b = tf.constant(10, name = "const2")
c = a + b
asum = tf.summary.scalar("
我手動試圖用metadata.tsv鏈接embedding張,但我得到以下錯誤:"$LOG_DIR/metadata.tsv is not a file." 我用下面的命令運行Tensorboard: tensorboard --logdir default/ 和我projector_config.pbtxt文件如下: embeddings {
tensor_name: 'embeddi