Hi Junhyuk, your training regime learns fine.
Can you please shed some light on how the loss is calculated.
Is it calculated based on the output of a single label value or the entire 320 label values?
I ask because the ip1 layer has num_output as 1 (shown below)
Thank you.
layer {
name: "ip1"
type: "InnerProduct"
bottom: "lstm1"
top: "ip1"
inner_product_param {
num_output: 1
weight_filler {
type: "gaussian"
std: 0.1
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "loss"
type: "EuclideanLoss"
bottom: "ip1"
bottom: "label"
top: "loss"
include: { phase: TRAIN }
}
Hi Junhyuk, your training regime learns fine.
Can you please shed some light on how the loss is calculated.
Is it calculated based on the output of a single label value or the entire 320 label values?
I ask because the ip1 layer has num_output as 1 (shown below)
Thank you.