How To Supercharge Your Machine Learning Experiments with Comet.ml

Table of contentsIntroductionComet’s web-based UIWorkspacesProjectsExperimentsInstallation of comel_ml Python libraryPractical Implementation using KerasPractical implementation using PyTorch Introduction Comet.ml is a Machine Learning experimentation platform which AI researchers and data scientists use to track, compare and explain their ML experiments. It allows ML practitioners to keep track of their databases, history of performed experiments, code modifications and production models. It enables model reproduction, easy maintenance of ML workflow and smooth collaboration throughout the iterative process of ML lifecycle. It also performs model optimization using Bayesian hyperparameter optimization algorithm and thereby reduces the overhead of tuning your model manually.  C