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--- | ||
title: "What do Neural Networks Learn?" | ||
author: | ||
- "Patrick Dewey" | ||
- "Aanish Pradhan" | ||
date: "May 1, 2024" | ||
output: | ||
html_document: | ||
mathjax: "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS_CHTML.js" | ||
toc: true | ||
toc_depth: 5 | ||
fig_caption: true | ||
--- | ||
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```{r setup, include=FALSE} | ||
knitr::opts_chunk$set(echo = TRUE) | ||
``` | ||
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## R Markdown | ||
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This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>. | ||
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When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this: | ||
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```{r cars} | ||
summary(cars) | ||
``` | ||
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## Including Plots | ||
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You can also embed plots, for example: | ||
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```{r pressure, echo=FALSE} | ||
plot(pressure) | ||
``` | ||
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Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot. | ||
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$$\mathbf{X}\boldsymbol{\beta} = \mathbf{y}$$ | ||
$$\mathbf{X} \beta = \mathbf{y}$$ | ||
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