TensorBoard
TensorBoard: TensorFlow’s visualization toolkit. TensorBoard provides the visualization and tooling needed for machine learning experimentation:Tracking and visualizing metrics such as loss and accuracy; Visualizing the model graph (ops and layers); Viewing histograms of weights, biases, or other tensors as they change over time; Projecting embeddings to a lower dimensional space; Displaying images, text, and audio data; Profiling TensorFlow programs. And much more
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
Sorted by year (- Antonio Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, Simon Bøgh: skrl: Modular and Flexible Library for Reinforcement Learning (2022) arXiv
- Kaiyang Zhou, Tao Xiang: Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch (2019) arXiv