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updated image conversion script. now using hi-res JPGs
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ericmjl committed Nov 3, 2017
1 parent 4bd05fb commit 26c2139
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1 change: 0 additions & 1 deletion .gitignore
@@ -1,5 +1,4 @@
# Custom
images/*.png
.DS_Store

# Byte-compiled / optimized / DLL files
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4 changes: 2 additions & 2 deletions Makefile
Expand Up @@ -4,5 +4,5 @@ IMAGES = $(patsubst images/%.pdf, images/%.jpg, $(PDFIMAGES))
images: $(IMAGES)
echo

images/%.jpg: images/%.pdf
convert -density 600 $< -quality 100 $@
images/%.jpg: images/%.pdf Makefile
convert -density 1200 $< -quality 100 $@
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57 changes: 28 additions & 29 deletions index.html
Expand Up @@ -43,12 +43,12 @@ <h2>Take-Home Point 1</h2>
<p>
Deep Learning is nothing more than <b>compositions of functions on matrices</b>.
</p>
<img src="images/deepnet_regressor-matrices.pdf" alt="" width=40%>
<img src="images/deepnet_regressor-matrices.jpg" alt="" width=40%>
</section>
<section data-transition="fade">
<h2>Take-Home Point 2</h2>
<p>Bayesian deep learning is nothing more than <b>learning a distribution for each parameter</b> rather than a point estimate.</p>
<img src="images/deepnet_regressor-matrices-bayesian.pdf" alt="" width=40%>
<img src="images/deepnet_regressor-matrices-bayesian.jpg" alt="" width=40%>
</section>
</section>
<section id="Assumptions">
Expand All @@ -69,19 +69,19 @@ <h2>Linear Regression</h2>
</section>
<section id="equation form">
<h3>Function</h3>
<img src="images/linreg.tex.pdf" alt="" width=60%>
<img src="images/linreg.tex.jpg" alt="" width=60%>
</section>
<section id="matrix diagram">
<h3>Matrices</h3>
<img src="images/linreg-matrices.pdf" alt="" width=80%>
<img src="images/linreg-matrices.jpg" alt="" width=80%>
</section>
<section id="neural diagram">
<h3>Neural Diagram</h3>
<img src="images/linreg-neural.pdf" alt="" width=60%>
<img src="images/linreg-neural.jpg" alt="" width=60%>
</section>
<section id="side-by-side">
<h3>LinReg 3 Ways</h3>
<img src="images/linreg-all.pdf" alt="" width=90%>
<img src="images/linreg-all.jpg" alt="" width=90%>
</section>
</section>
<section id="Logistic Regression" data-transition="zoom">
Expand All @@ -90,19 +90,19 @@ <h2>Logistic Regression</h2>
</section>
<section id="equation form">
<h3>Function</h3>
<img src="images/logreg.tex.pdf" alt="" width=40%>
<img src="images/logreg.tex.jpg" alt="" width=40%>
</section>
<section id="matrix diagram">
<h3>Matrices</h3>
<img src="images/logreg-matrices.pdf" alt="" width=70%>
<img src="images/logreg-matrices.jpg" alt="" width=70%>
</section>
<section id="neural diagram">
<h3>Neural Diagram</h3>
<img src="images/logreg-neural.pdf" alt="" width=70%>
<img src="images/logreg-neural.jpg" alt="" width=70%>
</section>
<section id="side-by-side">
<h3>LogReg 3 Ways</h3>
<img src="images/logreg-all.pdf" alt="" width=90%>
<img src="images/logreg-all.jpg" alt="" width=90%>
</section>
</section>
<section id="Deep Neural Networks" data-transition="zoom">
Expand All @@ -111,19 +111,19 @@ <h2>Deep Neural Networks</h2>
</section>
<section id="equation form">
<h3>Function</h3>
<img src="images/deepnet_regressor.tex.pdf" alt="" width=50%>
<img src="images/deepnet_regressor.tex.jpg" alt="" width=50%>
</section>
<section id="matrix diagram">
<h3>Matrices</h3>
<img src="images/deepnet_regressor-matrices.pdf" alt="" width=50%>
<img src="images/deepnet_regressor-matrices.jpg" alt="" width=50%>
</section>
<section id="neural diagram">
<h3>Neural Diagram</h3>
<img src="images/deepnet_regressor-neural.pdf" alt="" width=90%>
<img src="images/deepnet_regressor-neural.jpg" alt="" width=90%>
</section>
<section id="side-by-side">
<h3>DeepNets 3 Ways</h3>
<img src="images/deepnet_regressor-all.pdf" alt="" width=90%>
<img src="images/deepnet_regressor-all.jpg" alt="" width=90%>
</section>
</section>
<section>
Expand All @@ -141,15 +141,15 @@ <h2>Bayesian Linear Regression</h2>
</section>
<section>
<h3>Intuition</h3>
<img src="images/linreg-estimates.pdf" alt="" width=60%>
<img src="images/linreg-estimates.jpg" alt="" width=60%>
</section>
<section data-transition="fade">
<h3>From this...</h3>
<img src="images/linreg-matrices.pdf" alt="" width=80%>
<img src="images/linreg-matrices.jpg" alt="" width=80%>
</section>
<section data-transition="fade">
<h3>..to this</h3>
<img src="images/linreg-matrices-bayesian.pdf" alt="" width=80%s>
<img src="images/linreg-matrices-bayesian.jpg" alt="" width=80%s>
</section>
</section>
<section id="Bayesian Logistic Regression" data-transition="slide">
Expand All @@ -158,11 +158,11 @@ <h2>Bayesian Logistic Regression</h2>
</section>
<section data-transition="fade">
<h3>From this...</h3>
<img src="images/logreg-matrices.pdf" alt="" width=70%>
<img src="images/logreg-matrices.jpg" alt="" width=70%>
</section>
<section data-transition="fade">
<h3>...to this</h3>
<img src="images/logreg-matrices-bayesian.pdf" alt="" width=70%>
<img src="images/logreg-matrices-bayesian.jpg" alt="" width=70%>
</section>
</section>
<section id="Bayesian DeepNet Regressor" data-transition="slide">
Expand All @@ -171,16 +171,16 @@ <h2>Bayesian Deep Nets</h2>
</section>
<section data-transition="fade">
<h3>From this...</h3>
<img src="images/deepnet_regressor-matrices.pdf" alt="" width="60%">
<img src="images/deepnet_regressor-matrices.jpg" alt="" width="60%">
</section>
<section data-transition="fade">
<h3>...to this</h3>
<img src="images/deepnet_regressor-matrices-bayesian.pdf" alt="" width="60%">
<img src="images/deepnet_regressor-matrices-bayesian.jpg" alt="" width="60%">
</section>
</section>
<section id="Ever-Expanding Cheat Sheet" data-transition="zoom">
<h2>Cheat Sheet</h2>
<img src="images/infographic.pdf" alt="" width=90%>
<img src="images/infographic.jpg" alt="" width=90%>
</section>
<section id="Examples Intro">
<section>
Expand All @@ -197,7 +197,7 @@ <h2>Cheat Sheet</h2>
<h2>Predict Forest Cover Type</h2>
<section id="intro">
<h3>Network Architecture</h3>
<img src="images/forest-cover.pdf" alt="" width=60%>
<img src="images/forest-cover.jpg" alt="" width=60%>
</section>
<section id="code">
<pre>
Expand Down Expand Up @@ -241,15 +241,15 @@ <h3>Network Architecture</h3>
</section>
<section id="Layer 1 Weights" data-transition="fade">
<h3>1st Layer Weights</h3>
<img src="images/layer1-weights.pdf" alt="" width=100%>
<img src="images/layer1-weights.jpg" alt="" width=100%>
</section>
<section id="Layer 2 Weights" data-transition="fade">
<h3>2nd Layer Weights</h3>
<img src="images/layer2-weights.pdf" alt="" width=100%>
<img src="images/layer2-weights.jpg" alt="" width=100%>
</section>
<section id="Output Weights" data-transition="fade">
<h3>Output Weights</h3>
<img src="images/layer3-weights.pdf" alt="" width=100%>
<img src="images/layer3-weights.jpg" alt="" width=100%>
</section>
</section>
<section id="Credits">
Expand Down Expand Up @@ -277,20 +277,19 @@ <h2>Take-Home Point 1</h2>
<p>
Deep Learning is nothing more than <b>compositions of functions on matrices</b>.
</p>
<img src="images/deepnet_regressor-matrices.pdf" alt="" width=40%>
<img src="images/deepnet_regressor-matrices.jpg" alt="" width=40%>
</section>
<section data-transition="fade">
<h2>Take-Home Point 2</h2>
<p>Bayesian deep learning is nothing more than <b>learning a distribution for each parameter</b> rather than a point estimate.</p>
<img src="images/deepnet_regressor-matrices-bayesian.pdf" alt="" width=40%>
<img src="images/deepnet_regressor-matrices-bayesian.jpg" alt="" width=40%>
</section>
</section><section id="Thanks!">
<h1>Thank you!</h1>
</section>
</div>
</div>
<script type="text/javascript" src="js/reveal.js"></script>
<!-- <script src="http://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/highlight.min.js"></script> -->
<script>
Reveal.initialize({
width: "100%",
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