My data consists of 2-dimensional arrays with shape (2,3).
The whole dataset (
emp) consists of 12 items (I know that it is too small of a number for an NN training, but it is just a test), so it has shape (12,2,3)
truevals has shape (12,)
When I try to add Keras layer:
model = Sequential() model.add(Dense(4, input_shape=(2,3), activation='tanh')) model.add(Dense(1, activation='sigmoid')) model.compile(SGD(lr=0.5), 'binary_crossentropy', metrics=['accuracy']) model.fit(emp, truevals, epochs=200)
and then when I fit the model I get the exception:
Error when checking target: expected dense_30 to have 3 dimensions, but got array with shape (12, 1).
What am I doing wrong?