Sgd, Machine Learning, Stochastic Gradient.
(self.sigmoid(x1)>0.5) else 0 for x1 in x]) def plot_log_loss_per_epoch(self, ): plt.figure(figsize=(18, 8)) plt.suptitle('Ploting the log_loss VS Epochs with our Custom SGD Results', fontsize=30) plt.plot(range(1, len(self.tr_log_loss_lst)+1), self.tr_log_loss_lst, marker='o', label='Change in the