This 3 hour module will offer a hands on introduction to deep learning based image recognition tools. Participants will gain familiarity with preparing and importing images into software (python) and applying one of the foundational deep learning architectures to classify the images and create vector representations. We will discuss different applications of the output of deep learning tools to extract managerial and scientific insights. In particular, the course will discuss applications of these tools to creating large-scale measures that have otherwise proven to be elusive to measure or susceptible to bias in measurement.
Basic knowledge of linear algebra is helpful but not required, Basic knowledge of python (e.g. libraries such as pandas and numpy) is helpful but not required, Basic familiarity with standard regression OLS models. You should be familiar with what it means to estimate relationships between variables using OLS models. A gmail account is required to open the google collab notebooks which will be shared before the class