what MSE actually does?

[iperov]

trafficstars

part of loss is mse ( predicted * idx_tensor, yaw )

idx_tensor = [idx for idx in xrange(66)]
idx_tensor = Variable(torch.FloatTensor(idx_tensor)).cuda(gpu)

yaw_predicted = torch.sum(yaw_predicted * idx_tensor, 1)
loss_reg_yaw = reg_criterion(yaw_predicted, label_yaw_cont)

but torch.sum(yaw_predicted * idx_tensor, 1) has infinite solutions? for example for target angle 45 bins 44 = 0.5 , 46 = 0.5 are correct answer.

so what point to use such approach?

[imdeepmind]

Check #46