ValueError: Error when checking target: expected dense_2 to have 3 dimensions, but got array with shape (10000, 1)

Question

I am using keras MLP network for binary classification of 3-D word vector input_shape=(None,24,73). I have used two dense layers dense_1 and

Answer 1

Since you have a binary_classification task your last layer should look something like this

model.add(Dense(1, activation='sigmoid'))

Right now you model is out puting 3D array which don't match the shape of your target (2D)