Tutorials

Implementing ResNet with MXNET Gluon and Comet.ml for image…

In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) implemented in MXNet Gluon, and...
Gideon Mendels
9 min read

Real-time numbers recognition (MNIST) on an iPhone with CoreML…

Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the CoreML format to then...
Gideon Mendels
12 min read

Part II: Manual Feature Engineering techniques for the Kaggle…

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Default Competition! This post is the second...
Dhruv Nair
6 min read

Building reliable machine learning models with cross-validation

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...
Gideon Mendels
2 min read

Part I: Conducting Exploratory Data Analysis (EDA) for the…

Follow along as the Comet.ml team competes to win the Kaggle Home Credit Default Competition — this is the first of a series of posts on...
Dhruv Nair
4 min read

Using fastText and Comet.ml to classify relationships in Knowledge…

TLDR: In this post, we will examine how a simple model, fastText, learns to represent entities in a subset of the FB15K knowledge graph,...
Dhruv Nair
6 min read
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