Question

InvalidArgumentError: Incompatible shapes: [6,2,3] vs. [6,1] what does        
 this means.

不兼容的形状意味着什么

InvalidArgumentErrorTraceback（最近一次通话最近）（）中的 ----> 1 odel.fit（x，y，epochs = 500）

4 frames
/usr/local/lib/python2.7/dist- 
 packages/tensorflow/python/framework/errors_impl.pyc in __exit__(self, 
 type_arg, value_arg, traceback_arg)
 526             None, None,
 527             compat.as_text(c_api.TF_Message(self.status.status)),
 -->  528             c_api.TF_GetCode(self.status.status))
 529     # Delete the underlying status object from memory otherwise it 
stays alive
 530     # as there is a reference to status from this from the traceback 
  due to

 InvalidArgumentError: Incompatible shapes: [6,2,3] vs. [6,1]
  [ ]

 > Blockquote


   import tensorflow as tf
   import numpy as np
   from tensorflow import keras

  odel = tf.keras.Sequential([keras.layers.Dense(units=3)])

   odel.compile(optimizer='sgd', loss='mean_squared_error')

   x = np.array([[[1,2],[6,3]],[[3,4],[6,3]],[[4,5],[6,6]],[[5,6],[6,6]], 
                [[6,7],[6,4]],[[7,8],[6,2]]], dtype=float)
   y = np.array([6, 10, 15, 17, 17,17], dtype=float)

   odel.fit(x, y, epochs=500)

   a=np.array([[2,3]])`enter code here`
     print(odel.predict(a))

Answer 1

代码中有很多事情需要解决

1- InputShape

tf.Sequential的第一层应具有InputShape。它是要素之一的形状

2-标签

标签至少具有二维尺寸（特征也是如此）。 y的形状为[6]，而其形状应为[b, 3]，其中3是最后一层的单位值，b是批数。看特征，b是6

input_shape不匹配是什么意思

1 个答案: