Hello, in the process of iterative training, I see that the testing set is also being iterated. Do you use the testing set as validation set, or do the iterative testing set have other meanings? Thank you.
The relevant code is as follows：
`for i in range(1, N_EPOCHS + 1):
for start, end in zip(range(0, train_count, BATCH_SIZE),
range(BATCH_SIZE, train_count + 1, BATCH_SIZE)):
sess.run(optimizer, feed_dict={X:X_train[start:end],
Y:y_train[start:end]})
_, acc_train, loss_train = sess.run([pred_softmax, accuracy, loss], feed_dict={
X: X_train, Y:y_train})
_, acc_test, loss_test = sess.run([pred_softmax, accuracy, loss], feed_dict={
X: X_test, Y:y_test})`
Hello, in the process of iterative training, I see that the testing set is also being iterated. Do you use the testing set as validation set, or do the iterative testing set have other meanings? Thank you.
The relevant code is as follows：
`for i in range(1, N_EPOCHS + 1):
for start, end in zip(range(0, train_count, BATCH_SIZE),
range(BATCH_SIZE, train_count + 1, BATCH_SIZE)):
sess.run(optimizer, feed_dict={X:X_train[start:end],
Y:y_train[start:end]})