TensorFlow - 机器学习算法的三大分类（笔记）

TensorFlow - 机器学习算法的三大分类（笔记）

flyfish 笔记

Three types of learning

three different types of machine learning
机器学习的三种不同类型

supervised learning 监督学习
reinforcement learning 强化学习
unsupervised learning 无监督学习

Broadly speaking 泛泛地说

Learning can be divided into three broad groups of algorithms
机器学习可以分为三大类算法

Supervised learning
-Learn to predict an ouput when give an input vector

Reinforcement learning
-Learn to select an action to maximize pay off

Unsupervised learing
-Discover a good internal representation of the input

In supervised learing you are trying to predict an output when given an input vector 。
在监督学习的过程中，当给出一个输入向量时模型会试图给出一个对应的预测值。

In reinforcement learning you are trying to select actions or sequences of actions to maximize the rewards you get，
and the rewards may only occur occasionally
在强化学习的过程中，通过尝试选择动作或者序列动作来使奖赏到达最大，奖励可能只是偶尔发生.

In unsupervised learning you are trying to discover a good internal representation of the input and
在无监督学习中，你需要尝试挖掘一种对于输入数据内部规律的表征方法

payoff
英 [‘peɪɔːf] 美 [‘pe,ɔf]
n. 报酬；结果；发工资；结算
adj. 支付的；决定性的；产生结果的

occasionally
英 [əˈkeɪʒnəli] 美 [o’keʒənəli]
adv. 偶尔；间或

divide into
把……分成

you get放在后面的例句
The more you eat，the fatter you get.你吃得越多，长得越胖。