Visualize Machine Learning metrics with Tensorflow and Tensorboard

An important step in understanding machine learning processes and evaluations is the interpretation of various metrics. These include: ROC ACCURACY LOSS PRECISION RECALL F1-SCORE It can be very time-consuming to read individual results numerically, particularly if the model has been training for many epochs. Tensorboard can offer a remedy for this. It is a convenient and…

Dezember 21, 2020 0