Scenario is this: by hardware can stick to a value in the process of the battery power, every minutes to read, so start charging battery can be obtained from the curve to the end of the charging power in the process of transformation,

The question is how to through tensorflow model training, the results to determine whether a curve?

It is important to note: 1, has the certain sample data, about 1000-2000

2, determine the results of fixed (for example, there are three: health, sub-health, unhealthy, etc.)

3, battery charging time and tide wait for no, that is, customer is filled with A battery for 1 hour, and B cells need 3 hours to fill, so it is good to curve length ranging from
Expect a similar figure results:

In artificial intelligence, and nor small white state, passing by the great god glad, later will return