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In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) i...

  Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the...

Tracking and saving your model results just got that much easier with Comet.ml   For many data scientists, Jupyter notebooks have become the tool of choice. Its ability ...

See how companies like Uber and ZocDoc use machine learning to improve key business metrics   Ramping up for the keynotes at Strata Data Conference in New York — ph...

Compare across your model iterations efficiently with rich visualizations to identify your champion model   At Comet.ml, we believe that machine learning should be highly iterative, ...

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Def...

  The latest episode of the In Context podcast is a must-listen for anyone in the machine learning space...

  Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training set and train/tes...

Now you can easily find and organize your experiments with filtered views based on experiment metrics, metadata, and parameters   Machine learning teams often work with many, many models and t...