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<!DOCTYPE html>
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<meta name="description" content="Hi Perth Deep Learners, We've changed the format. Instead of going through each lecture from the mooc, we are splitting our time into two slots, a beginner session, from 6-7pm, and an advanced session from 7-8pm. If you are a beginner and haven't been following the course, please come to …" />
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<meta property="og:description" content="Hi Perth Deep Learners, We've changed the format. Instead of going through each lecture from the mooc, we are splitting our time into two slots, a beginner session, from 6-7pm, and an advanced session from 7-8pm. If you are a beginner and haven't been following the course, please come to …"/>
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<title>Perth Machine Learning Group – Next Deep Learning Meeting</title>
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<h2>Perth's Machine Learning Group</h2>
<p> We are a group of students, industry professionals, entrepreneurs and curious individuals studying machine learning. We run beginner and advanced sessions every Thursday from 6-8pm at Flux, 191 St George's Terrace.</p>
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<h1 id="next-deep-learning-meeting">Next Deep Learning Meeting</h1>
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Posted on Thu 30 March 2017 in <a href="http://pmlg.github.io/category/events.html">events</a>
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<p>Hi Perth Deep Learners,</p>
<p>We've changed the format. Instead of going through each lecture from
the mooc, we are splitting our time into two slots, a beginner
session, from 6-7pm, and an advanced session from 7-8pm.</p>
<p>If you are a beginner and haven't been following the course, please
come to the beginner session, we will happily go over the basics and
help you come up to speed. No homework required!</p>
<p>For the advanced session, it will be a discussion group around some
advanced topics. Last week we:
- Explored an application of Deep Learning in Biology lead by Darcy
- Learnt more about what you actually get when you ask for a p2.xlarge
instance from amazon.
- Explored what a de-convolution means.
- Explored what an embedding means in a biology domain.</p>
<p>In this weeks advanced session I'll start by giving a walk through
lesson 6 on RNN's and LSTM's as well as give a quick overview of my
experience dabbling with Tensorflow.</p>
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