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 … WebOct 31, 2024 · train_images = train_images.reshape ( (train_images.shape [0], train_images.shape [1] * train_images.shape [2])) This should work for datasets and …
python - ValueError: cannot reshape array of size 300 into shape ...
WebSep 20, 2024 · To reshape with, X = numpy.reshape (dataX, (n_patterns, seq_length, 1)) the dimensions should be consistent. 5342252 x 200 x 1 = 1,064,505,600 should be the number of elements in dataX if you want that shape. It is not clear what you are trying to accomplish but my guess is that n_patterns = len (dataX) should be n_patterns = len … 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。 iptv streamer windows
ValueError: cannot reshape array of size 2764800 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 … 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. Web1 Answer. Sorted by: 1. you want array of 300 into 100,100,3. it cannot be because (100*100*3)=30000 and 30000 not equal to 300 you can only reshape if output shape … orchards tewv