ValueError: cannot reshape array of size 784 into shape (1,10)

这个错误通常发生在尝试将一个大小为784的数组重新整形为一个大小为(1,10)的数组时。这个错误通常是因为你试图使用不兼容的形状来重新整形数组。

要解决这个问题，你需要确保你的原始数组的大小与你尝试重新整形的大小相同。你可以使用`np.shape()`函数来检查你的数组的大小，然后使用`np.reshape()`函数来重新整形它。

例如，如果你想将一个大小为784的一维数组重新整形为一个大小为(1,10)的二维数组，你可以这样做：

import numpy as np

# 创建一个大小为784的一维数组
a = np.random.rand(784)

# 检查a的大小
print(np.shape(a))  # 输出 (784,)

# 尝试将a重新整形为一个大小为(1,10)的二维数组
b = np.reshape(a, (1,10))

# 这里会抛出ValueError错误，因为尝试重新整形不兼容的形状

在这个例子中，我们尝试将一个大小为784的一维数组重新整形为一个大小为(1,10)的二维数组，但是它们的大小不兼容，所以会抛出ValueError错误。

相关问题

ValueError: cannot reshape array of size 502850 into shape (50285,1)

This error message occurs when you try to reshape an array into a shape that is not compatible with its original size. In this specific case, the array has a size of 502850, which means it contains 502850 elements. However, you are trying to reshape it into a shape of (50285,1), which would make it a 2-dimensional array with 50285 rows and 1 column, for a total of 50285 elements. Since 502850 is not evenly divisible by 50285, the reshape operation cannot be performed.

To fix this error, you need to choose a shape that is compatible with the original size of the array. For example, you could reshape it into a shape of (10057,50), which would create a 2-dimensional array with 10057 rows and 50 columns, for a total of 502850 elements. Alternatively, you could reshape it into a shape of (502850,), which would create a 1-dimensional array with 502850 elements.

ValueError: cannot reshape array of size 200 into shape (896)

This error message is indicating that you are attempting to reshape an array with 200 elements into a shape that requires 896 elements. This is not possible because the new shape requires more elements than are available in the original array.

To fix this error, you will need to adjust the shape that you are trying to reshape the array into so that it matches the number of elements in the original array. Alternatively, you can adjust the size of the original array so that it matches the desired shape.