snsmssss

snsmssss

Epoch 0 loss: 0.334
Epoch 10 loss: 0.305
Epoch 20 loss: 0.118
Epoch 30 loss: 0.072
Epoch 40 loss: 0.049
Epoch 50 loss: 0.047
Epoch 60 loss: 0.046
Epoch 70 loss: 0.037
Epoch 80 loss: 0.024
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snsmssss

import torch
def sigmoid(x):
  # Sigmoid activation function: f(x) = 1 / (1 + e^(-x))
  sx =   1.0 / (1.0 + torch.exp(-x))
  return sx 

# y_true and y_pred are numpy arrays of the same length.
def mse_loss(y_true, y_pred):
  return torch.mean((y_true - y_pred) ** 2)