* How to modify a PyTorch training loop for Ray Tune * How to scale a hyperparameter sweep to multiple nodes and GPUs without code changes * How to define a hyperparameter search space and run a sweep ...

Abstract: Hyperparameter optimization (HPO), characterized by hyperparameter tuning, is not only a critical step for effective modeling but also is the most time-consuming process in machine learning.

Visualisations play a crucial role in understanding data and uncovering important insights in machine learning. TensorBoard, a tool from TensorFlow, aids in interpreting neural networks using ...