Explain when the training should be stopped: $1.$ The graph is a summary of the AlexNet Training outcome. The training was conducted on the $9$th of November $2020$ at $16$:$53$:$32(4$:$53$ pm$)$ and was completed in $2$ minutes and $13$ seconds. The model was trained for $2$ epochs $($an epoch is a complete pass through the entire training dataset$)$ out of a maximum of $2,$ and in each epoch there were $15$ iterations $($a single update of the training models weights$),$ there were $30$ iterations out of a maximum of $30$ iterations that were completed, since the training went through all it's epochs. The training model was validated every $3$ iterations. The validation accuracy achieved was $100\%,$ when it reached the final iteration after the training.