title: keras - TypeError: 'int' object is not iterable
body: <p>I was trying to test a network, but seem to get an annoying error, which I am not quite sure I understand. </p>
  
  <pre><code>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()
  </code></pre>
  
  <p>Error message: </p>
  
  <pre><code>File "experiment.py", line 34, in &lt;module&gt;
     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
  </code></pre>
  
  <p>Why am i getting this error?</p>
  
  <p>I am in the network trying to use shared convolution layer, which the code states,
  and for test purposes want to see what the output became?.. </p>