I have finished the part one course and I am just trying a few things out before I move onto the second part of the course.
One thing I am trying to do is an LSTM for predicting the 10th float in a sequence, based off the previous 9.
The data looks like this:
[11.0, 11.0, 11.0, 12.0, 11.5, 12.0, 13.0, 13.5, 14.0, 15.5]
I would like to be able to predict 15.5, based of the previous 9 numbers.
There are 18,000 rows similar to this.
So I have a couple of questions:
- Is this a problem for LSTM?
- Are there any tutorials out there for Keras that anyone has seen that deal with a similar sort of problem?
I look forward to any feedback.