PyTorch : Neural Network with Quadratic Data

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(data generation) num_data = 1000 num_epoch = 5000 noise = init.normal(torch.FloatTensor(num_data,1),std=1) x = init.uniform(torch.Tensor(num_data,1),-15,15) y = (x**2) + 3 y_noise = y + noise 시각화 input_data = torch.cat([x,y_noise],1) win=viz.scatter( X = input_data, opts=dict( xtickmin=-...