The Unknown Word
| The First Word | The Second Word |
|---|---|
| derivation | [dere'veition]求导 |
| fraction | 分数 |
| cross-entropy | 交叉熵 |
| entropy | ['entrepi]熵 |
| feedforward | ['fid'fo:werd]前馈 |
| quadratic | 二次的[kwa:'draetik] |
Neuron
What is a neuron？ from the point of view of function image, this is a straight line.
What is the use of a neuron? To illustrate the use, we must give an application scenario: classification. A neuron is a straight line, equivalent to the Chu River Han boundary, can be divided between red chess and green chess, at this time it is a classifier. Therefore, in linear scenarios, a single neuron can achieve the function of classification, it can always learn a suitable line to distinguish the two types of elements.
Look at the effect picture,Transmission
对上面的图简单说明一下:(x1,x2) 对于神经元的输入都是 x, 而对我们而言，这数据就是意义上的点的坐标，我们习惯写成 (x,y)。
TO BE CONTINUED
Reference
Transmission_MachineLearningIntroduction
