errors with cloned code

[yarin05]

hey,
i might do something wrong which i cant understand, 2 problems appears when simply running the example and i would like to solve them.

1. running build_model.py results in this error:
   Traceback (most recent call last):
   File "build_model.py", line 123, in
   autoencoder.add(Reshape((n_labels, img_h * img_w)))
   File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 455, in add
   output_tensor = layer(self.outputs[0])
   File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 559, in call
   output_shape = self.compute_output_shape(input_shape)
   File "/usr/local/lib/python2.7/dist-packages/keras/layers/core.py", line 385, in compute_output_shape
   input_shape[1:], self.target_shape)
   File "/usr/local/lib/python2.7/dist-packages/keras/layers/core.py", line 379, in _fix_unknown_dimension
   raise ValueError(msg)
   ValueError: total size of new array must be unchanged

2. running SegNet.py results with this error:
   Traceback (most recent call last):
   File "SegNet.py", line 105, in
   autoencoder = models.model_from_json(model_file.read())
   File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 325, in model_from_json
   return layer_module.deserialize(config, custom_objects=custom_objects)
   File "/usr/local/lib/python2.7/dist-packages/keras/layers/init.py", line 46, in deserialize
   printable_module_name='layer')
   File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 141, in deserialize_keras_object
   return cls.from_config(config['config'])
   File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 1190, in from_config
   model.add(layer)
   File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 455, in add
   output_tensor = layer(self.outputs[0])
   File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 554, in call
   output = self.call(inputs, **kwargs)
   File "/usr/local/lib/python2.7/dist-packages/keras/layers/normalization.py", line 140, in call
   epsilon=self.epsilon)
   File "/usr/local/lib/python2.7/dist-packages/keras/backend/theano_backend.py", line 572, in normalize_batch_in_training
   x, gamma, beta, reduction_axes, epsilon)
   File "/usr/local/lib/python2.7/dist-packages/theano/tensor/nnet/bn.py", line 220, in batch_normalization_train
   raise ValueError("epsilon must be at least 1e-5, got %s" % str(epsilon))
   ValueError: epsilon must be at least 1e-5, got 9.99999997475e-07

[gaoyuankidult]

Hi,

I also had the same problem. Was the problem solved?

Best

[gaoyuankidult]

Problem solved, please use keras 1.0.4.