Now that we've explored the theory behind recurrent neural networks, it's time to build one with CNTK. There are several building blocks that CNTK offers for building recurrent neural networks. We're going to explore how to build a recurrent neural network using a sample dataset containing power measurements from a solar panel.
The power output of a solar panel changes during the day, so it's hard to predict how much power is generated for a typical house. This makes it hard for a local energy company to predict how much additional power they should generate to keep up with demand.
Luckily, many energy companies offer software that allows customers to keep track of the power output of their solar panels. This will allow them to train a model based on this historical data, so we can predict what the total power...
