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doc/Magnus_page.md

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Magnus Individual Task
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======================
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#Magnus Størdal Individual Task
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# Magnus Størdal Individual Task
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##Task overview
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## Task overview
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In addition to the overall task, I was tasked to implement a three layer linear network, a dataset loader for the SVHN dataset, and a entropy metric.
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##Network Implementation In-Depth
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## Network Implementation In-Depth
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For the network part I was tasked with making a three-layer linear network where each layer conists of 133 neurons. This is a fairly straightforward implementation where we make a custom class which inherits from the PyTorch Module class. This allows for our class to have two methods. The __init__ method and a forward method. When we make an instance of the class we'll be able to call the instance like we would call a function, and have it run the forward method.
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The network is initialized with the following metrics:
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Each input is flattened over the channel, height and width channels. Then they are passed through each layer and the resulting logits are returned.
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##SVHN Dataset In-Depth
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## SVHN Dataset In-Depth
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##Entropy Metric In-Depth
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## Entropy Metric In-Depth
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The EntropyPrediction class' main job is to take some inputs and return the Shannon Entropy metric of those inputs. The class has four methods with the following jobs:
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* __init__ : Initialize the class.

doc/index.md

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:caption: Some caption
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about.md
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Magnus_page
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Magnus_page.md
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:::
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Individual Sections

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