import libraries import numpy as np import torch import torch.nn as nn import torch.optim as optim import torch.nn.init as init from torch.autograd import Variable from visdom import Visdom viz = Visdom() 데이터 생성 num_data = 1000 num_epoch = 5000 x = init.uniform(torch.Tensor(num_data,1),-10,10) y = (x**3) - 3*(x**2) - 9*x - 1 noise = init.normal(torch.FloatTensor(num_data,1),std=0.5) y_noise = y + noise 시각화 input_data = torch.cat([x,y_noise],1) win=viz.scatter( X = input_data, opts=dict( xtickmin...
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Cubic
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pytorch