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Hands-on Tutorial on Automatic Deep Learning (Proposing)

Home Page: https://autogluon.mxnet.io/

Jupyter Notebook 100.00%

autogluon-tutorial-cvpr2020's Introduction

CVPR 2020 Tutorial: Hands-on Tutorial on Automatic Deep Learning (Proposing)

Organizers: Hang Zhang, Matthias Seeger, Mu Li

Abstract

In this tutorial, we design the hyper-parameter ranges and possible network architecture combinations in deep learning approaches, and pass the workload to the machines. This tutorial will cover the important concepts in automatic machine learning, andthe applications in computer vision. The audience will be able to reproduce large scale experimentsthrough hands-on section using Jupiter Notebooks.

Agenda

Topic	Slides	Notebook
Opening and tutorial notebook setup	link	link, link
Overview of AutoML and HPO		link, link
Advanced search algorithms	link	link, link
Efficient neural architecture search	link	link
Large scale distributed search	link
Q&A and Closing

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