weixin_43132331的博客

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]],

keras Lambda层使用keras中Lambda层的使用

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