Concat两个填充的句子并插入到tensorflow中的conv1d？

Question

What dimensions are required in tf.nn.conv1d ? and how to perform max pooling afterwards?

Answer 1

A simple example snip:

               filter = tf.zeros([3, 16, 16])
                W = tf.Variable(tf.truncated_normal(filter, stddev=0.1), name="W")
                b = tf.Variable(tf.constant(0.1, shape=[num_filters]), name="b")
                conv = tf.nn.conv1d(
                    input_values,
                    W,
                    strides=2,
                    padding="VALID",
                    name="conv")
                # nonlinearity operation
                h = tf.nn.relu(tf.nn.bias_add(conv, b), name="relu")
                # Maxpooling over the outputs
                pooled = tf.nn.max_pool(
                    h,
                    ksize=[1, sequence_length - filter_size + 1, 1, 1],
                    strides=[1, 1, 1, 1],
                    padding='VALID',
                    name="pool")
                pooled_outputs.append(pooled)

Check this answer as well.