code: def test_net_with_bceloss_learns(self, net_with_bceloss):
      train_losses = net_with_bceloss.history[:, "train_loss"]
      assert train_losses[0] > 1.3 * train_losses[-1]
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from scipy.special import expit
  from sklearn.base import clone
  from torch import nn
  from skorch.tests.conftest import INFERENCE_METHODS
label_desc: Use image node_id 23 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_net_with_bceloss_learns(net_with_bceloss) without return types