def plot_performance_single(hist): plt.rcParams['figure.figsize'] = (15, 7) hist_ = hist.history epochs = hist.epoch plt.subplot(1, 2, 1) # row 1, col 2 index 1 plt.plot(epochs, hist_['accuracy'], label='Training Accuracy') plt.plot(epochs, hist_['val_accuracy'], label='Validation Accuracy') plt.xlabel('Epochs') plt.ylabel('Accuracy') plt.title('Training and validation accuracy') plt.legend() plt.subplot(1, 2, 2) # row 1, col 2 index 1 plt.plot(epochs, hist_['loss'], label='Training loss') plt.plot(epochs, hist_['val_loss'], label='Validation loss') plt.xlabel('Epochs') plt.ylabel('Loss') plt.title('Training and validation loss') plt.legend() plt.tight_layout(2) fig1 = plt.gcf() plt.show() plt.draw() fig1.savefig('tessstttyyy.png', dpi=100)