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到树莓派piwheels里下载造好的轮子树莓派wheel

cat /etc/issue怎样用linux命令知道系统是ubuntu还是redhat？‘’

解决办法tensorboard --logdir logs --host=127.0.0.1其中logs为events.out.tfevents文件所在文件夹，注意网址打不开时加上host=127.0.0.1。参考链接：tensorboard 生成的网址不能正常打开访问

control_flow_ops.while_loop函数循环_, ignore_mask = K.control_flow_ops.while_loop(lambda b,*args: b<m, loop_body, [0, ignore_mask])lambda b,*args: b<m：是条件函数 ( lambda 是匿名函数关键字。b,*args是形参，b<m是返回的结果)loop_body：是循环目标函数[0, ignore_mask]：是函数的起始实参

from keras import backend as Kimport tensorflow as tfsess = tf.Session()a1 = K.placeholder(shape = (1,3))a2 = K.placeholder(shape = (3,)) # 此处填写(3,)与(3)均可。但(3,) != 3, 而(3) == 3。故(3,)与(3)含义不同a11, a22 = sess.run([a1, a2], feed_dict = {a1:[[6,7,8]],

tf.Variable tf.placeholder tf.constant 区别import tensorflow as tf# 构建计算图节点（声明节点）a = tf.Variable(1) # 此阶段必须指定初值b = tf.constant(1)c = tf.placeholder(dtype=tf.int32, shape=(1,)) # 此阶段无需指定初值update = tf.assign(a, tf.add(a, b)) # 运行计算图前准备init = tf.glob

TensorFlow里的算子round不是什么四舍五入，而是Bankers Rounding——四舍六入五取偶import tensorflow as tfx = tf.constant([0.9, 2.5, 2.3, 1.5, -4.5])with tf.Session() as sess: sess.run(tf.round(x))# array([ 1., 2., 2., 2., -4.], dtype=float32)TensorFlow ops：tf.round为“Ban

使用方式import tensorflow as tffrom keras import backend as Kx = K.arange(0,13)with tf.Session() as sess: print(sess.run(x))参考链接：tf.keras.backend.arange函数tf.keras.backend.arange(start,stop=None,step=1,dtype=‘int32’)如果只提供一个参数，它实际上是“stop”参数