Visualizing Training and Validation Loss in Machine Learning Models

The code provided generates a plot that visualizes the training loss and validation loss over the epochs of the training process. The 'loss' and 'val_loss' values from the training history are used to plot the respective curves. The title of the plot is 'Training and Validation Loss' and the x-axis represents the number of epochs, while the y-axis represents the loss values. The plot also includes a legend to distinguish between the training and validation loss curves.

This plot is crucial for understanding the performance of a machine learning model during training. By observing the trends in both training and validation loss, one can identify potential overfitting, underfitting, and the overall effectiveness of the training process.