Tensorflow: How to use a trained model in a application?

Question

I have trained a Tensorflow Model, and now I want to export the \"function\" to use it in my python program. Is that possible, and if yes, how? Any help would be nice, could

Answer 1

I don't know if there is any other way to do it, but you can use your model in another Python program by saving your session:

Your training code:

# build your model

sess = tf.Session()
# train your model
saver = tf.train.Saver()
saver.save(sess, 'model/model.ckpt')

In your application:

# build your model (same as training)
sess = tf.Session()
saver = tf.train.Saver()
saver.restore(sess, 'model/model.ckpt')

You can then evaluate any tensor in your model using a feed_dict. This obviously depends on your model. For example:

#evaluate tensor
sess.run(y_pred, feed_dict={x: input_data})