In this example, we will be solving a problem in the domain of regression. For this reason, we will build a multi-layer RNN with two LSTMs. The type of regression we will do is of the many to one type, because the network will receive a sequence of energy consumption values and will try to output the next value based on the previous four registers.
The dataset we will be working on is a compendium of many measurements of the power consumption of one home over a period of time. As we might infer, this kind of behavior can easily follow patterns (it increases when the occupants use the microwave to prepare breakfast and use computers during the day, it decreases a bit in the afternoon, and then increases in the evening with all the lights, finally decreasing to zero when the occupants are asleep).
Let's start by...
