TensorBoard Deep Learning
proper noun
Definition: A visualization toolkit for TensorFlow (and compatible workflows) used to inspect training metrics, graphs, embeddings, and experiment logs [TensorFlow Documentation].
Example in context: “In addition, perplexity and accuracy can be monitored during training on Tensorboard (Abadi et al., 2015).” [Ohta et al. 2022]
Related terms: experiment tracking; training visualization; TensorFlow