About

EconDL is a comprehensive resource detailing applications of Deep Learning in Economics. This is a companion website to the paper Deep Learning for Economists and aims to be a go-to resource for economists and other social scientists for applying tools provided by deep learning in their research.

This website contains user-friendly software and dataset resources, and a knowledge base that goes into considerably more technical depth than is feasible in a review article. The demos implement various applications explored in the paper, largely using open-source packages designed with economists in mind. They require little background and will run in the cloud with minimal compute, allowing readers with no deep learning background to gain hands-on experience implementing the applications covered in the review.



About this knowledge base

This post provides an overview of the content of this knowledge base.

January 23, 2021 - 3 minute read - Category: Overview - Tags: Overview

An Introduction to Deep Learning

Lecture 1: An Introduction to Deep Learning

January 18, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

Convolutional Neural Networks

Lecture 2: Covers Convolutional Neural Networks

January 19, 2023 - 3 minute read - Category: Intro - Tags: Deep learning

Language Modeling, Recurrent Neural Nets and Seq2Seq

Lecture 3: Covers language models before transformers: RNNs, Seq2Seq, LSTM models

January 20, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

The Transformer

Lecture 4: Covers transformer architecture in general and begins discussion on transformer language models

January 21, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

More on Transformer Language Models

Lecture 5: Transformer language models

January 22, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

Vision and Audio Transformers

Lecture 6: Vision and Audio Transformers

January 23, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

Basics of Training and Optimizing Neural Networks

Lecture 7: Covers the basics of training and optimizing neural networks

January 24, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

Contrastive Learning

Lecture 8: Covers Contrastive Learning: Contrastive loss functions and associated model architectures.

February 23, 2023 - 2 minute read - Category: Intro - Tags: Deep learning

Prompt and Prefix Tuning

Lecture 9: Prompt and Prefix Tuning

February 24, 2023 - 1 minute read - Category: Intro - Tags: Deep learning