ValueError: Error when checking target: expected complex_dense_1 to have shape (None, 48) but got array with shape (38400, 24)

[SpenceraM]

I am working with the shallownet architecture for my own implementation. The backend is Theano and I am running keras 2.1.1. So far, I have the complex convolution layers working. I am now trying to get the complex dense layers working as well. The model is able to be created and the following is the summary. In the future, once this works I will have more layers and then eventually take the real part of the output and make it a one-hot vector.

_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
input_1 (InputLayer)         (None, 1024, 2)           0
_________________________________________________________________
complex_conv1d_1 (ComplexCon (None, 1024, 32)          224
_________________________________________________________________
average_pooling1d_1 (Average (None, 256, 32)           0
_________________________________________________________________
permute_1 (Permute)          (None, 32, 256)           0
_________________________________________________________________
flatten_1 (Flatten)          (None, 8192)              0
_________________________________________________________________
complex_dense_1 (ComplexDens (None, 48)                196656
=================================================================
Total params: 196,880
Trainable params: 196,880
Non-trainable params: 0
_________________________________________________________________

After the summary is printed out, the following error occurs:

starting training
saving model to ./weights/training_data_chunk_1_snrs_10.0_2018-07-06_18.34.17.wts.h5
cnn_complex.py:190: UserWarning: The `nb_epoch` argument in `fit` has been renamed `epochs`.
  outs = ComplexDense(24, activation='sigmoid',bias_initializer=Constant(value=-5))(outs)
Traceback (most recent call last):
  File "cnn_complex.py", line 190, in <module>
    outs = ComplexDense(24, activation='sigmoid',bias_initializer=Constant(value=-5))(outs)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1574, in fit
    batch_size=batch_size)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1411, in _standardize_user_data
    exception_prefix='target')
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 153, in _standardize_input_data
    str(array.shape))
ValueError: Error when checking target: expected complex_dense_1 to have shape (None, 48) but got array with shape (38400, 24)

The shape (38400, 24) is the shape of the label, i.e. 38400 is the size of the training set and 24 is the number of classes.

[PigpigF]

can you give me your email-address？