Closed saadirtza closed 7 years ago
I don't understand your question.
model.pred
is the softmax outputs, tf.argmax(model.pred, 1)
would give you the highest probability label, and correct_label_pred
tells you which predictions are correct.
Thanks Pumpikano.. i understand now..
Regards
Hi Pumpikano,
thanks for answering my questions. i am trying to get the prediction values instead of predicted labels and accuracy, in this regard, i have modify the code as Changed the line correct_label_pred = tf.equal(tf.argmax(model.classify_labels, 1), tf.argmax(model.pred, 1)) to label_acc_lk = model.pred
i am getting the predictions, just wondering is it correct to do so?
Many thanks
Regards Saad