Weights & Biases Articles

Deep Learning Articles

Part 2 – Comparing Message Passing Based GNN Architectures

Compare and visualize various message-passing based GNN architectures using Sweeps by Weights and Biases.

Part 1 – Introduction to Graph Neural Networks with GatedGCN

Introduces Graph Neural Networks and analyzes the Gated Graph Convolutional Network architecture.

AMA with Anthony Goldbloom, CEO of Kaggle

Anthony Goldbloom answers the W&B community's questions.

Introduction to Adversarial Examples in Deep Learning

Introduction to different adversarial attacks and how to defend against them.

Text Recognition with CRNN-CTC Network

This report explains how to detect & recognize text from images.

HuggingTweets - Train a model to generate tweets

In 5 minutes, fine-tune a pre-trained Transformer on anyone's tweets.

Organize Your Machine Learning Pipelines with Artifacts

How to use W&B Artifacts to store and keep track of datasets & models across machine learning pipelines.

Distributed hyperparameter optimization at scale

How to use Ray Tune with W&B to run an effective distributed hyperparameter optimization pipeline at scale.

Towards Representation Learning for an Image Retrieval Task

Self-supervised and regularized supervised image retrieval with the help of the latent space of an autoencoder.

Build the World's Open Hedge Fund by Modeling the Stock Market

The hardest data science tournament on the planet

Understanding the Effectivity of Ensembles in Deep Learning

Dissecting ensembles, one at a time.

Plunging into Model Pruning in Deep Learning

This report discusses pruning techniques in the context of deep learning.