I am running the neural network for the train data for 10 iterations, with a learning rate of 0.01 and the accuracy increases about 20% after those 10 iterations.
I’ve used train/test in regression previously, and it’s mainly testing the data on a set of parameters that I computed during the testing/validation phase.
But for neural networks, the only hyperparameters are the learning rate and epochs/iterations.
How do I run the test data? Do I run it for the same number of epochs as the training or only one, and that becomes my testing accuracy?