tensorflow中一维卷积conv1d处理语言序列举例

tf.nn.conv1d：

函数形式： tf.nn.conv1d(value, filters, stride, padding, use_cudnn_on_gpu=None, data_format=None, name=None):

程序举例：

import tensorflow as tf
import numpy as np
sess = tf.InteractiveSession()

# --------------- tf.nn.conv1d  -------------------
inputs=tf.ones((64,10,3))  # [batch, n_sqs, embedsize]
w=tf.constant(1,tf.float32,(5,3,32))  # [w_high, embedsize, n_filers]
conv1 = tf.nn.conv1d(inputs,w,stride=2 ,padding='SAME')  # conv1=[batch, round(n_sqs/stride), n_filers],stride是步长。

tf.global_variables_initializer().run()
out = sess.run(conv1)
print(out)

注：一维卷积中padding='SAME'只在输入的末尾填充0

tf.layters.conv1d：

函数形式：tf.layters.conv1d(inputs, filters, kernel_size, strides=1, padding='valid', data_format='channels_last', dilation_rate=1, activation=None, use_bias=True，...)

程序举例：

import tensorflow as tf
import numpy as np
sess = tf.InteractiveSession()

# ---------------