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

Comienza revisando el estimador de precios de viviendas existente y los ejemplos actuales de canalizaciones de datos de imágenes, texto y CSV. El trabajo estará terminado cuando haya un ejemplo ejecutable que cargue una lista de vectores de características float, los envíe a un modelo de TensorFlow para realizar predicciones y recupere los resultados.

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