Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry

© Isaiah Hull 2021

I. HullMachine Learning for Economics and Finance in TensorFlow 2https://doi.org/10.1007/978-1-4842-6373-0_10

10. Theoretical Models

Isaiah Hull¹  

(1)

Nacka, Sweden

 

Relative to other machine learning packages, TensorFlow requires a substantial time investment to master. This is because it provides users with the capacity to define and solve any graph-based model, rather than providing them with a simple and interpretable set of pre-defined models. This feature of TensorFlow was intended to foster the development of deep learning models; however, it also has secondary value for economists who want to solve theoretical models.

In this chapter, we’ll provide a brief overview of TensorFlow’s capabilities in this area. We’ll start by ...