Saving and Loading Models in PyTorch Networks
Synthetic Training Data Generation
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
# Create synthetic dataset
train_x = torch.linspace(-1, 1, 100).view(-1, 1)
train_y = train_x ** 2 + 0.2 * torch.rand(train_x.size())
# Visualize input-output distribution
plt.scatter(train_x.numpy(), train_y.nump ...
Posted on Thu, 07 May 2026 11:30:23 +0000 by ArmanIc