WebOct 19, 2024 · ValueError: cannot reshape array of size 47040000 into shape (60008,784) 60008 * 784 = 47046272 > 47040000 なので、reshapeしようとする画像データのピクセル数が不足しているのが直接原因と思います。 "mnist/train-labels-idx1-ubyte" ラベルファイル "mnist/train-images-idx3-ubyte" 画像ファイル だと思いますが、ラベル … WebDec 1, 2024 · If data is already a numpy array, you should reshape in numpy (maybe cropping first) instead of creating lists and then casting as an array – Learning is a mess …
python - ValueError: cannot reshape array of size 50176 into shape ...
WebOct 8, 2024 · As you have an image read of 28x28x3 = 2352, you want to reshape it into 28x28x1 = 784, which of course does not work as it the error suggests. The problem lies … WebValueError: cannot reshape array of size 122304 into shape (52,28,28) Exception TypeError: TypeError("'NoneType' object is not callable",) in ignored Что происходит и как исправить эту ошибку? fly dubai azerbaijan package tour
valueerror: the truth value of an array with more than one …
Web1 Answer Sorted by: 0 According to your X_train which has a size of 66145536, and the fact that you want 28709 "rows" (in you first dimension), the width and height needs to be 48. 66145536 / 28709 = 2304 sqrt (2304) = 48 So 28709 * 48 * 48 * 1 = 66145536, which is the same amount of data you had. WebJan 30, 2024 · import numpy as np arrayA = np.arange(8) # arrayA = array ( [0, 1, 2, 3, 4, 5, 6, 7]) np.reshape(arrayA, (2, 4)) #array ( [ [0, 1, 2, 3], # [4, 5, 6, 7]]) 这里它把一个有 8 个元素的向量,转换成了形状为 (4, 2) 的一个矩阵。 因为转换前后的元素数目一样,所以能够成功的进行转换,假如前后数目不一样的话,就会有错误 ValueError 报出。 WebMar 17, 2024 · ValueError: cannot reshape array of size 74404 into shape (6764,1691,1) 0. ValueError: cannot reshape array of size 60000 into shape (60000,784) 0. … greenhow grocery williamsburg va