Suppose i am training a network with net = train(net,x,t) where x inputs, and t targets.
let us say I want to check how well the network is performing at the end of 500 epochs, 1000 epochs etc.
I can manually stop after 500 epochs. and if i am not happy with result i want to further train till 1000 epochs without losing all the previous training. What are the exact steps involved to restart the network from where I left off. I am not adding any thing new by way of data. Everything should remain same but I should be able to continue training further.
Thanks in advance