摘要: 机器学习的三种类型监督学习,加强学习和非监督学习Types of learning task• Supervised learning– Learn to predict an output when given an input vector.• Reinforcement learning– L... 阅读全文
posted @ 2015-05-02 23:25 嫣儿 阅读(215) 评论(0) 推荐(0) 编辑
摘要: 机器学习的一个简单例子It is a very simple kind of NeuralNet and it is gonna be learning to recognize digits and you gonna be able to see how the weights evolveda... 阅读全文
posted @ 2015-05-02 22:20 嫣儿 阅读(212) 评论(0) 推荐(0) 编辑
摘要: 神经元的简单模型Idealized neurons• To model things we have to idealize them (e.g. atoms)– Idealization removes complicated details that are not essentialfor u... 阅读全文
posted @ 2015-05-02 21:58 嫣儿 阅读(389) 评论(0) 推荐(0) 编辑
摘要: 什么是神经网络?大脑如何工作?Each neuron receives inputs from other neurons 每个神经元接收其他神经元的输入- A few neurons also connect to receptors. 一些神经元连接到神经末梢- Cortical neurons... 阅读全文
posted @ 2015-05-02 21:24 嫣儿 阅读(208) 评论(0) 推荐(0) 编辑
摘要: 本系列博客根据Geoffrey Hinton课程Neural Network for Machine Learning总结. 课程网址为:https://www.coursera.org/course/neuralnets1、Some examples of tasks best solved by... 阅读全文
posted @ 2015-05-02 19:47 嫣儿 阅读(587) 评论(0) 推荐(0) 编辑