Hello, i am very new to tensor flow and I’d like to do, what i think, is pretty simple.
I have followed this [tutorial] (docs/recurrent_quickdraw.md at master · tensorflow/docs · GitHub) to train a model with a google data set of drawings. I’ve had no problem following the tutorial, and i believe the model is trained and saved.
Now that my model is trained, i’d like to use it to predict my own drawings. The problem is I can’t figure out how to use this code and this model to predict my own drawings. I have found a method that is :
tf.estimator.Estimator.predict() that ask for “input_fn” as argument but I don’t understand what should be input_fn.
Anyway, if some of you have already use it or have an idea of how to use this sample code from this github repo to predict my own drawing?