Add Simple Feature Vector TensorFlow Example

Hello everyone,

I think I've finally figured out how to send a simple float feature vector down to a TensorFlow model, do some predictions on it and retrieve it back. It doesn't seem to be be very complex, but there's no example for such a basic use-case (like the house price estimator).

Also for data pipelines, you only outline very specific examples like training on images, text or csv spreadsheets. But it would be nice to add a more general example that loads a list of float feature vectors. That way, people can learn how to implement much more generic algorithms like reinforcement learning.

Wouldn't it be nice to provide an example like I mentioned? Let me know what you think about it.

Best wishes,
Marco

Beginne mit der Durchsicht des vorhandenen Hauspreisschätzers und der aktuellen Beispiele für Bild-, Text- und CSV-Datenpipelines. Fertig ist die Aufgabe, wenn ein ausführbares Beispiel eine Liste von Float-Feature-Vektoren lädt, sie zur Vorhersage an ein TensorFlow-Modell sendet und die Ergebnisse abruft.

Vom Indexierungsmodell aus dem Issue-Text verfasst.