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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
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<title>Rishabh Shukla</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="A few reads about Machine Learning and Natural Language Processing">
<meta name="author" content="Rishabh Shukla">
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<a href="http://rishy.github.io/" class="site-title">Rishabh Shukla</a>
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<a href="/about/">About</a>
<a href="/contact/">Contact</a>
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<div class="post">
<p class="post-meta">Jan 5, 2017</p>
<a href="/ml/2017/01/05/how-to-train-your-dnn/" class="post-link"><h3 class="h2 post-title">How to train your Deep Neural Network</h3></a>
<p class="post-summary">
List of commonly used practices for efficient training of Deep Neural Networks.
</p>
</div>
<div class="post">
<p class="post-meta">Oct 12, 2016</p>
<a href="/ml/2016/10/12/dropout-with-theano/" class="post-link"><h3 class="h2 post-title">Dropout with Theano</h3></a>
<p class="post-summary">
Implementing a Dropout Layer with Numpy and Theano along with all the caveats and tweaks.
</p>
</div>
<div class="post">
<p class="post-meta">Jul 28, 2015</p>
<a href="/ml/2015/07/28/l1-vs-l2-loss/" class="post-link"><h3 class="h2 post-title">L1 vs. L2 Loss function</h3></a>
<p class="post-summary">
Comparison of performances of L1 and L2 loss functions with and without outliers in a dataset.
</p>
</div>
<div class="post">
<p class="post-meta">Jul 21, 2015</p>
<a href="/stats/2015/07/21/normal-distributions/" class="post-link"><h3 class="h2 post-title">Normal/Gaussian Distributions</h3></a>
<p class="post-summary">
Statistical Properties of Normal/Gaussian Distribution and why it is one of the most commonly used probability distribution in statistics.
</p>
</div>
<div class="post">
<p class="post-meta">Jun 10, 2015</p>
<a href="/projects/2015/06/10/electricity-demand/" class="post-link"><h3 class="h2 post-title">Electricity Demand Analysis and Appliance Detection</h3></a>
<p class="post-summary">
Analysis of Electricity demand from a house on a time-series dataset. An appliance detection systems is also created using K-Means Clustering based on the electricity demand.
</p>
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You are free to use the Source Code available at <a href="https://github.com/rishy/rishy.github.io">Github</a>.<br/>
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