检查输入时出错：期望dense_input具有形状(21,)，但实际上得到的数组形状为(1,)。

Question

如何修正输入数组以符合输入形状？

我试图转置输入数组，如此处所述，但错误仍然存在。

ValueError: 检查输入时出错：期望 dense_input 具有形状 (21,)，但得到的数组形状为 (1,)。

import tensorflow as tf
import numpy as np

model = tf.keras.models.Sequential([
  tf.keras.layers.Dense(40, input_shape=(21,), activation=tf.nn.relu),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(1, activation=tf.nn.softmax)
])
model.compile(optimizer='adam',
              loss='categorical_crossentropy',
              metrics=['accuracy'])

arrTest1 = np.array([0.1,0.1,0.1,0.1,0.1,0.5,0.1,0.0,0.1,0.6,0.1,0.1,0.0,0.0,0.0,0.1,0.0,0.0,0.1,0.0,0.0])
scores = model.predict(arrTest1)
print(scores)

- Denis P.

---

Tgsmith61591，非常感谢，它有效了 :)，只需添加额外的括号 arrTest1 = np.array([[0.1,0.1,0.1,0.1,0.1,0.5,0.1,0.0,0.1,0.6,0.1,0.1,0.0,0.0,0.0,0.1,0.0,0.0,0.1,0.0,0.0]])。 - Denis P.

请接受答案，谢谢。 - desertnaut

Answer 1

您的测试数组arrTest1是一个21个元素的一维向量：

>>> arrTest1.ndim
1

您要为模型提供的是一行包含21个特征的数据。您只需要再加上一组括号即可：

arrTest1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1, 0.5, 0.1, 0., 0.1, 0.6, 0.1, 0.1, 0., 0., 0., 0.1, 0., 0., 0.1, 0., 0.]])

现在您有一个包含21个值的行：

>>> arrTest1.shape
(1, 21)

- TayTay