爲什麼下面的代碼失敗,如果a==b,但工作正常否則? 錯誤: ValueError: Shapes must be equal rank, but are 2 and 1 for 'Assign' (op: 'Assign') with input shapes: [12,12], [12]. #!/usr/bin/env python3
import keras
a = 12
b = 1
我是keras的新手。當我實施線性迴歸時,我遇到了一個納稅損失,這使我非常困惑。我把我的源代碼如下: from keras.layers import Dense,Activation
from keras.models import Sequential
import numpy as np
model = Sequential()
model.add(Dense(1,input_sha
我使用Python 2.7,與keras 1.2.2 from sklearn.datasets import load_files
import numpy as np
from keras.utils import np_utils
from glob import glob
# define function to load train, test, and validation