TensorBoard: Visualization Toolkit for ML When to Use This Skill Use TensorBoard when you need to: - Visualize training metrics like loss and accuracy over time - Debug models with histograms and distributions - Compare experiments across multiple runs - Visualize model graphs and architecture - Project embeddings to lower dimensions (t-SNE, PCA) - Track hyperparameter experiments - Profile performance and identify bottlenecks - Visualize images and text during training Users : 20M+ downloads/year | GitHub Stars : 27k+ | License : Apache 2.0 Installation Quick Start PyTorch TensorFlow/Keras C…