5 min tutorial on classifying images.
Hyperparameter tuning to improve image classification accuracy.
Example use of AutoGluon for image classification competition on Kaggle.
5 min tutorial on detecting objects in images.
5 min tutorial on fitting models with tabular datasets.
In-depth tutorial on boosting accuracy and controlling model fitting.
Using AutoGluon for Kaggle competitions with tabular data.
10 min tutorial on fitting prediction models with text in the dataset.
In-depth tutorial on learning how to customize the search space and try different HPO algorithms.
Learning how to use AutoGluon to handle datasets with mixed data types.
Tuning Custom Models¶
AutoGluon’s Core API for search spaces and searchable objects used to tune any training function’s argument-values.
Use AutoGluon’s search algorithms to tune arbitrary models/training-scripts.
Easily distribute AutoGluon tuning across multiple machines.
Complete example of how to use AutoGluon and its state-of-the-art schedulers and model-based searchers to tune a MLP.
Neural Architecture Search¶
Comparing search via Reinforcement Learning against Random search.
Efficient Neural Architecture Search for low latency model on target hardware.