I have a Keras Model with the following summary saved to a file.
Layer (type) Output Shape Param #
=================================================================
conv2d_1 (Conv2D) (None, 70, 8, 64) 640
_________________________________________________________________
dense_1 (Dense) (None, 70, 8, 720) 46800
_________________________________________________________________
dense_2 (Dense) (None, 70, 8, 720) 519120
_________________________________________________________________
dense_3 (Dense) (None, 70, 8, 100) 72100
_________________________________________________________________
conv2d_2 (Conv2D) (None, 68, 6, 32) 28832
_________________________________________________________________
flatten_1 (Flatten) (None, 13056) 0
_________________________________________________________________
dense_4 (Dense) (None, 2) 26114
=================================================================
Total params: 693,606
Trainable params: 693,606
Non-trainable params: 0
_________________________________________________________________
None
My training and testing data shapes are (120,72,10,1) and (20,72,10,1) respectively. When I try and retrain, the model won't accept anything smaller that (4,72,10,1), when I am trying to train on a single data point (1,72,10,1). The following is the error that I am receiving.
Traceback (most recent call last):
File "./classifier.py", line 62, in <module>
classifier.fit(test_point, y_test[i])
File "/home/jazz/.local/lib/python3.5/site-packages/keras/engine/training.py", line 952, in fit
batch_size=batch_size)
File "/home/jazz/.local/lib/python3.5/site-packages/keras/engine/training.py", line 789, in _standardize_user_data
exception_prefix='target')
File "/home/jazz/.local/lib/python3.5/site-packages/keras/engine/training_utils.py", line 138, in standardize_input_data
str(data_shape))
ValueError: Error when checking target: expected dense_4 to have shape (2,) but got array with shape (1,)
I have no idea how to move forward with this, any help is appreciated.