Artificial Intelligence, machine
learning, neural network, deep learning概念釐清：
Artificial Intelligence, machine learning, neural
network, deep learning之間的關係
machine learning
machine learning
機器學習(machine learning)是指設計及分析讓電腦可自動學習之演算法。其原理為模仿人類學習的方式，透過使用資料或輸入以往的經驗，取出特徵或經過計算處理後得到有意義的技巧，以最佳化電腦程式的運算效能，並提升其表現。
(此寫法我覺得仍太過籠統，可能要再說明的更具體)
But what is a Neural Network? | Deep learning
Summary:
This video talks
about neural network, including what the structure consists of and how the neural
network works. It used visualized images to make the neural network easy to
understand, just like a human’s brain. The process of recognizing things is built
on a neural network. For example, if we want to recognize a digit, we should
break one picture into many parts. Each part will be seen as a neuron, and all
the neurons will make up the first layer. The hidden layers involve complicated
processes and in the end the layers will output the correct digit in the end.
Neural network breaks
the complicated process into many layers to recognize part of the digit (or
function), then combines all the part into a digit (or outcome) to give us a
final answer. The methodology uses a regression model: each neuron has a weight
and bias to control the outcome within a range. Then if we input an image (or
data), the network will recognize and give us an answer.
