maxim5
In which method do the system choose hyper-parameters?
I am just a little confused.
When i changed the neural network setting with concrete parameters, because i just only want to optimize learning rate, the second training will use a new learning rate to train the neural network.
For example, after the first training, i got a final accuracy=0.8172. And then, it will go for a second training with a new learning rate. But the final accuracy maybe be very bad. I thought, after one training, the second training will use the old results to train this model, and then get a better result. But actually, it may get a worse result.
So i want know, how do this system choose the next learning rate? Thank you so much.
Your issue is unclear. Please provide the original spec that you used, the output and then changes that you've made.
