WebNov 23, 2024 · The LSTM input needs to be of shape (num sample, time steps, num features) if you are using tensorflow backend. Assuming that you want to split the data into sequences of 5 time steps you will need to do something like the following: X_data = X_data.reshape((20000,5,30)) I think you mean: X_data = X_data.reshape((10000,5,30)) WebUse numpy.reshape () to convert a 2D numpy array to a 1D Numpy array Suppose we have a 2D Numpy array of shape (3X3), Copy to clipboard arr = np.array( [ [0, 1, 2], [3, 4, 5], [6, 7, 8]]) Let’s convert this 2D array to a 1D array, Copy to clipboard print('What …

valueerror: the truth value of an array with more than one …

WebValueError: cannot reshape array of size 2768 into shape (174, 16) And it does the same with every n_samples in the shape of. xxxx02. I think it is an approximation problem when creating the matrix U. I patched it by creating the matrix U during the first iteration, like this. WebMar 22, 2024 · You can flatten X to have (number_of_batches, flatten_dims) rather than (number_of_batches, dim_1, dim_2, dim_3). According to your code, the initial shape of X is $(30, 100, 100, 3)$ which translates to having $30$ images each of $(100 \times 100)$ dimension and $3$ channels. dachshund business cards

valueerror: at least one array or dtype is required - CSDN文库

WebMar 11, 2024 · a=b.reshape(-1,36,1)报错cannot reshape array of size 39000 into shape(36,1) 这个错误是说，数组的大小是39000，但是你试图将它转换成大小为(36,1)的数组。这是不可能的，因为这两个数组的大小不同。 在这种情况下，你可能需要更改数组 … WebMar 13, 2024 · 这个错误是因为你试图改变一个数组的大小，但是新数组的总大小必须与原数组的总大小相同。例如，如果你有一个形状为(3,4)的数组，它有12个元素，你不能将其大小更改为(2,6)，因为新数组的总大小为12，与原数组的总大小相同。 WebAug 13, 2024 · I.e. specify the ,3, because you have RGB data, and drop the ,'L' because that means you have B/W data. If you actually wanted greyscale or b/w change the last line to one of: img.convert('L').show() img.convert('1').show() Stepping back a bit, you could … dachshund breeders new hampshire