Question

我试图测试一个网络，但似乎有一个恼人的错误，我不太清楚我理解。

import keras
from keras.models import Sequential
from keras.optimizers import SGD
from keras.layers.core import Dense, Activation, Lambda, Reshape,Flatten
from keras.layers import Conv1D,Conv2D,MaxPooling2D, MaxPooling1D, Reshape
from keras.utils import np_utils
from keras.models import Model
from keras.layers import Input, Dense
from keras.layers import Dropout
from keras import backend as K
from keras.callbacks import ReduceLROnPlateau
from keras.callbacks import CSVLogger
from keras.callbacks import EarlyStopping
from keras.layers.merge import Concatenate
from keras.callbacks import ModelCheckpoint
import random
import numpy as np


window_height = 8
filter_size=window_height
pooling_size = 28
stride_step = 2


def fws():


    np.random.seed(100)
    input = Input(5,window_height,1)
    shared_conv = Conv2D(filters = 1, kernel_size = (0,window_height,1))
    output = shared_conv(input)
    print output.shape


fws()

错误讯息：

File "experiment.py", line 34, in <module>
   fws()
 File "experiment.py", line 29, in fws
   input = Input(5,window_height,1)
 File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1426, in Input
   input_tensor=tensor)
 File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
   return func(*args, **kwargs)
 File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1321, in __init__
   batch_input_shape = tuple(batch_input_shape)
TypeError: 'int' object is not iterable

为什么我会收到此错误？

我在网络中尝试使用共享卷积层，代码指出，为了测试目的，想看看输出变成了什么？..

Answer 1

你的行：

input = Input(5,window_height,1)

发出此错误。将此与keras的示例进行比较： https://keras.io/getting-started/functional-api-guide/

inputs = Input(shape=(784,))

Input对象期待shape的可迭代，但您传递了int。在这个例子中，您可以看到他们如何绕过一维输入。

keras - TypeError：＆＃39; int＆＃39;对象不可迭代

1 个答案: