DeepBake/index.html at master · dantaki/DeepBake · GitHub

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		<title>DeepBake</title>
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				<!-- Intro -->
					<section class="intro">
						<header>
							<h1>DeepBake</h1>
							<p>Baking Machine Learning into the Great British Bake Off</p>
							<p><a href="s13.html"><b>Click here for Season 13 Predictions</b></a></p>
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						<header>
							<h2>What is DeepBake?</h2>
						</header>
						<div class="content">
							<p><strong>DeepBake AI</strong><br>
								DeepBake is a collection of neural network predictors, one for each episode. Each week for each baker, DeepBake calculates a probability score for five different rankings such as being the winner, a finalist, or a semi/quarter-finalist. Click here for a in-depth <a href="s11.html#intro">explanation</a> and the <a href="https://github.com/dantaki/DeepBake#what-is-this">GitHub</a> repository</p>
							<span class="image fit">
								<img src="fig/deepbake_model.png" alt="GBBO Season 11 Predictions"/>
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					</section>

				<!-- Season 13 -->
					<section id="s13">
						<header>
							<h2>Season 13 Predictions</h2>
						</header>
						<div class="content">
							<p><strong>Season 13 Predictions</strong><br>
								Every week tune in for the most up to date <a href="s13.html">predictions</a> for the GBBO Winner, Finalists, and other placings.</p>

							<p><a href="s13.html">Click here for Season 13 Predictions</a></p>

							<span class="image fit">
								<img src="fig/s13/deepbake_probs_s13.png" alt="GBBO Season 13 Predictions"/>
							</span>

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					</section>

				<!-- Season 12 -->
					<section id="s12">
						<header>
							<h2>Season 12 Predictions</h2>
						</header>
						<div class="content">
							<p><strong>Season 12 Predictions</strong><br>
								Every week tune in for the most up to date <a href="s12.html">predictions</a> for the GBBO Winner, Finalists, and other placings.</p>

							<p><a href="s12.html">Click here for Season 12 Predictions</a></p>

							<span class="image fit">
								<img src="fig/s12/deepbake_probs_s12e3.png" alt="GBBO Season 12 Predictions"/>
							</span>

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					</section>


				<!-- Season 11 -->
					<section id="s11">
						<header>
							<h2>Season 11 Predictions</h2>
						</header>
						<div class="content">
							<p><strong>Season 11 Predictions</strong><br>
								Every week tune in for the most up to date <a href="s11.html">predictions</a> for the GBBO Winner, Finalists, and other placings.</p>

							<p><a href="s11.html">Click here for Season 11 Predictions</a></p>

							<span class="image fit">
								<img src="fig/s11.png" alt="GBBO Season 11 Predictions"/>
							</span>

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					</section>

				<!-- Season 10 -->
					<section>
						<header>
							<h2>Season 10 Predictions</h2>
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						<div class="content">
							<p><strong>Season 10 Predictions</strong><br>
							 We put DeepBake to the test every week of <a href="s10.html">Season 10</a>. See how DeepBake guessed the winner and was correct more often than not at predicting who would leave the tent.</p>

							<p><a href="s10.html">Click here for Season 10 Predictions</a></p>

							<span class="image fit">
								<img src="fig/s10.png" alt="GBBO Season 10 Winner Probability"/>
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							<h2>GitHub Repository</h2>
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							<p><strong>Github Repository</strong><br>
								Check out the <a href="https://github.com/dantaki/DeepBake">source code</a> for DeepBake. DeepBake is built on python and implements the keras and tensorflow libraries for deep learning. Jupyter notebooks are located in the NOTEBOOKS directory.</p>

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