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title: 深度學習 Deep Learning

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<h1>深度學習 Deep Learning</h1>

<h2>L1. Introduction </h2>

<h3> Machine Learning </h3>

![](https://i.imgur.com/FAEx7mT.png)

* $x\implies$ raw data
* $Rep.\implies$ 用來extracting pattern(feature)
* $\phi(x)\implies$ data representation of $x$
* $Model\implies$ sigmoid function with parameter $w$ and $\phi(x)$
* $y\implies$ model prediction
![](https://i.imgur.com/wPehzbQ.png)
* $t\implies$ ground-truth(基準情形)

![](https://i.imgur.com/prAxs2H.png)


<h3> Data Representation</h3>

* Data Representation $\phi(x)$ can critically determine the prediction perform

<h3> Deep Learning</h3>

* 一種ML的方式，其基於Hierarchy of concepts/features的data representation 
![](https://i.imgur.com/1EuSlv8.png)
![](https://i.imgur.com/i6C57cx.png)
![](https://i.imgur.com/mxSVD6M.png)
