Now we are running and displaying the algorithm run, but we are not tracking the generated data. Being able to track, store, and recover algorithm runs is crucial to generate datasets for training DNNs, and debugging our algorithms.
We need to implement a data tracking and serialization strategy so we are sure to keep track of all the data generated during the run.
Now we are running and displaying the algorithm run, but we are not tracking the generated data. Being able to track, store, and recover algorithm runs is crucial to generate datasets for training DNNs, and debugging our algorithms.
We need to implement a data tracking and serialization strategy so we are sure to keep track of all the data generated during the run.