I am starting with the Deeplearning course for Developer on Tensorflow,
I am trying to do a project that consist on pass a latitute and longitude A and a latitute and longitude B on X and pass the distance on meters on B to fit the model…
The thing it’s I am stuck on the X axis cause I am not sure on how can I naturalize the data of this axis…
I try doing the following (latitude A - longitude A ) + (latitude B - longitude B ) as X and then passing distance on meters on Y.
When I try to fit the model return me errors based on there is multiple 0.
model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=)])
model.fit(xs, ys, epochs=10)
It’s so basic model I know but do you know guys where I should look into if I want to go throught this path?
Probably this is not the correct way to do this…
Thanks you in advance