深度学习--可视化、过拟合
cmd运行命令:python -e visdom.server
用法:
from visdom import Visdom
viz = Visdom()
viz.line([0.],[0.],win='train_loss',opts=dict(title='train loss'))
viz.line([loss.item()],[global_step],win='train_loss',update='append')
#看图
viz.images(data.view(-1,1,28,28),win='x')
viz.text(str(pred.detach().cpu().numpy()),win='pred',opts=dict(title='pred'))
过拟合和欠拟合
过拟合:训练集表现好,测试集表现差 可以用Regularization
欠拟合:参数不够
动量和学习率
标签:loss,--,win,train,可视化,拟合,viz,pred From: https://www.cnblogs.com/ssl-study/p/17343988.html