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新手入门深度学习 | 3-6：优化器optimizers
2022-07-06 00:34:00 【K同学啊】
- 运行环境：python3
- 作者：K同学啊
- 精选专栏：《深度学习100例》
- 选自专栏：《新手入门深度学习》
- 推荐专栏：《Matplotlib教程》
- 🧿 优秀专栏：《Python入门100题》
优化器是在深度学习反向传播过程中，指引损失函数（目标函数）的各个参数往正确的方向更新合适的大小，使得更新后的各个参数让损失函数（目标函数）值不断逼近全局最小。
本来是写了好多东西的，但是感觉讲太多反而会起反效果，
模型优化算法的选择直接关系到最终模型的性能。有时候效果不好，未必是特征的问题或者模型设计的问题，很可能就是优化算法的问题。
深度学习优化算法大概经历了 SGD -> SGDM -> NAG ->Adagrad -> A
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