Tensorboard is the best tool for visualizing many metrics while training and validating a neural network. In most of the case, we need to look for more details like how a model is performing on validation data. Sometimes training and validation loss and accuracy are not enough, we need to figure out the performance of validation data. One of the ways is to visualize using a confusion matrix.

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Exploring confusion matrix evolution on tensorboard
2.10 GEEK