1D CNN分类

Question

我建立应该一维输入分类卷积神经网络（与Tensorflow）。

这是到目前为止我的代码：

import tensorflow as tf 

n_outputs = 1 
batch_size = 32 
x = tf.placeholder(tf.float32, [batch_size, 10, 1]) 

filt = tf.zeros([3, 1, 1]) 

output = tf.nn.conv1d(x, filt, stride=2, padding="VALID") 

y = tf.placeholder(tf.int32) 
logits = tf.layers.dense(output, n_outputs) 
xentropy = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=y, logits=logits) 
correct = tf.nn.in_top_k(logits, y, 1) 

当我运行上面的代码，我收到以下错误：

Traceback (most recent call last): File "minex.py", line 16, in correct = tf.nn.in_top_k(logits, y, 1) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1449, in in_top_k targets=targets, k=k, name=name) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op op_def=op_def) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2329, in create_op set_shapes_for_outputs(ret) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1717, in set_shapes_for_outputs shapes = shape_func(op) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1667, in call_with_requiring return call_cpp_shape_fn(op, require_shape_fn=True) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn debug_python_shape_fn, require_shape_fn) File "/home/jk/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl raise ValueError(err.message) ValueError: Shape must be rank 2 but is rank 3 for 'InTopK' (op: 'InTopK') with input shapes: [32,4,1], ?.

基于错误，看来我的问题是形状，但我不知道它为什么会发生或如何纠正它。

Answer 1

您可以使用tf.squeeze从您的logits删除外部尺寸。

你的最后一行将变成：

correct = tf.nn.in_top_k(tf.squeeze(logits), y, 1) 

这将带来logits张量的形状从[32，4,1]至[32，4]。