python - ValueError: Error when checking input: expected dense_6_input to have 3 dimensions, but got array with shape -


i'm receiving error keras:

valueerror: error when checking input: expected dense_6_input have 3 dimensions,      got array shape (55, 72)

on

model.fit(x.values, y.values, nb_epoch=1000, batch_size=16,verbose=0)

this code:

    keras.models import sequential     keras.layers import dense, activation  model = sequential([     dense(32, input_shape=x.values.shape),     activation('relu'),     dense(10),     activation('softmax'), ]) model.compile(loss='mse', optimizer='rmsprop') model.fit(x.values, y.values, nb_epoch=1000, batch_size=16,verbose=0)

x has shape of (55, 72)

how can fix , dense_6_input?

the problem here:

dense(32, input_shape=x.values.shape)

don't set input_shape shape of input values array, input_shape not contain samples dimension. want should be:

dense(32, input_shape=(72,)),

then should able call fit without issues.


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