Neural Networks Not working for Movie dataset

Question

These are codes I used through Python to try neural networks to find the predicted revenue based on these predictors. When I tried to fit the model, I got the following error:

ValueError: Exception encountered when calling Sequential.call().

Input 0 of layer "dense_2" is incompatible with the layer: expected axis -1 of input shape to have value 3, but received input with shape (None, 14)

Arguments received by Sequential.call():

• inputs=tf.Tensor(shape=(None, 14), dtype=float32)

• training=True

• mask=None

I already knew that the problem that needs to be resolved is to reshape the NumPy array to a 2 dimensional array or add a second dimension to the data. I tried the functions .reshape(-1,1) and np.expand_dims but nothing seems to be working

UPDATE: Changed the input_dim to 14. I have received the following error:

ValueError: Could not interpret loss identifier: mean squared error

Answer 1

The error occurs because your input layer expects an input dimension of 3, but your dataset has 14 features. Review it.

Answer 2

You need to change input_dim from 3 to 14