Literature DB >> 33793268

Deep learning: A primer for psychologists.

Christopher J Urban1, Kathleen M Gates1.   

Abstract

Deep learning has revolutionized predictive modeling in topics such as computer vision and natural language processing but is not commonly applied to psychological data. In an effort to bring the benefits of deep learning to psychologists, we provide an overview of deep learning for researchers who have a working knowledge of linear regression. We first discuss several benefits of the deep learning approach to predictive modeling. We then present three basic deep learning models that generalize linear regression: the feedforward neural network (FNN), the recurrent neural network (RNN), and the convolutional neural network (CNN). We include concrete toy examples with R code to demonstrate how each model may be applied to answer prediction-focused research questions using common data types collected by psychologists. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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Year:  2021        PMID: 33793268     DOI: 10.1037/met0000374

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  1 in total

1.  Coal Identification Based on Reflection Spectroscopy and Deep Learning: Paving the Way for Efficient Coal Combustion and Pyrolysis.

Authors:  Dong Xiao; Zelin Yan; Jian Li; Yanhua Fu; Zhenni Li; Boyan Li
Journal:  ACS Omega       Date:  2022-06-29
  1 in total

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