I am new to tensorflow. I have manged to train and validate a CNN, saved the session through the Saver object into a CPKT file and loaded it back. Now I'd like to use the trained model in order to check how it performs against a photo I took myself. I can't figure out how to do it.
Use a tf.train.Saver()
object
saver = tf.train.Saver() with tf.Session() as sess: saver.restore(sess, tf.train.latest_checkpoint('./'))
Great to hear! All you need to do is to load the checkpoint , and evaluate the network against it. That is typically done using the same script as the training script, but only evaluating the loss function with a batch size of 1
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