小编Den*_* P.的帖子

如何修复输入数组以满足输入形状？

我试图转输入数组，如所描述这里，但误差是相同的。

ValueError：检查输入时出错：预期dense_input具有形状（21，）但得到形状为（1，）的数组

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)