小编Nik*_*tan的帖子

我试图在 Keras 上以双精度运行 LeNet，但它失败并出现错误：TypeError: Input 'filter' of 'Conv2D' Op has type float64 that does not match type float32 of argument 'input'.. 我使用的代码如下：

import numpy as np
from sklearn.utils import shuffle
import keras
from keras.models import Sequential
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, Dropout,Flatten
from keras import backend as K
from keras.models import Model
from keras.utils import np_utils
import time
import tensorflow as tf
K.set_floatx('float64') # Note: the code works if we comment this line, i.e., with single …