Advanced ML: Parameter Optimization
A guide to using an Iterative Strategy for Hyperparameter Optimization.
In this report we explore how to log profiles of your Pandas DataFrames, use them to assess the quality of your inputs, and identify the data constraints of your model.
Advanced ML: Parallelism
In this report we explore two of the most common methods for parallelized training in Machine Learning: Data Parallelism and Inter-Model Parallelism.
Logging Curves to Comet
Learn how to visualize your ROC and Precision-Recall Curves using Comet Reports and Panels.
Creating Panels with Vega
Learn how to build Vega visualizations directly in Comet Panels. This report will walk you through working with the Vega Visualization Grammar.
Custom Visualizations to Debug Object Detection Models
See how custom panels can help visualize predictions from Object Detection Models.
Tensorflow Model Analysis
Learn how to log Tensorflow Model Analysis (TFMA) visualizations to Comet.
Visualizations to Interpret Convolutional Neural Networks
Explore a set of techniques that help visualize filters, layers and features in Convolutional Neural Networks.