plot performance Single iteration: plot_performance_single(hist)
Sat Jul 30 2022 18:11:32 GMT+0000 (Coordinated Universal Time)
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@mnis00014
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)
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