tflearn

I have been given some data of this format and the following details: person1, day1, feature1, feature2, ..., featureN, label person1, day2, feature1, feature2, ..., featureN, label ... person1, dayN, feature1, feature2, ..., featureN, label person2, day1, feature1, feature2, ..., featureN, label person2, day2, feature1, feature2, ..., featureN, label ... person2, dayN, feature1, feature2, ..., featureN, label ... there is always the same number of features but each feature might be a 0 representing nothing there is a varying amount of days available for each person, e.g. person1 has 20 days

I have a TF model that works well, constructed with Python and TFlearn. Is there a way to run this model on another system without installing Tensorflow on it? It is already pre-trained, so I just need to run data through it. I am aware of tfcompile ( Thread here ), but it seems quite complex to set up. Are there any alternatives? Is there a way to run this model on another system without installing Tensorflow on it? It is already pre-trained, so I just need to run data through it. Yes After you have your model trained . Use tf.python.tools.freeze_graph and tf.python.tools.optimize_for