<h1>深度學習 Deep Learning</h1>

<h2>L1. Introduction </h2>

<h3> Machine Learning </h3>


* $x\implies$ 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
* $t\implies$ ground-truth(基準情形)


<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