PRML exercise 1.8: To derive mean: change of variable z = x - u, use symmetry To derive variance: differentiate normaliation condition (integrate to 1) w.r.t. sigma^2.…

About this Course Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly i…

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…

为了对GMM-HMM在语音识别上的应用有个宏观认识,花了些时间读了下HTK(用htk完成简单的孤立词识别)的部分源码,对该算法总算有了点大概认识,达到了预期我想要的.不得不说,网络上关于语音识别的通俗易懂教程太少,都是各种公式满天飞,很少有说具体细节的,当然了,那需要有实战经验才行.下面总结以下几点,对其有个宏观印象即可(以孤立词识别为例). 一.每个单词的读音都对应一个HMM模型,大家都知道HMM模型中有个状态集S,那么每个状态用什么来表示呢,数字?向量?矩阵?其实这个状态集中的状态没有具体的…

State of Hyperparameter Selection DANIEL SALTIEL VIEW NOTEBOOK Historically hyperparameter determination has been a woefully forgotten aspect of machine learning. With the rise of neural nets - which require more hyperparameters, more precisely tuned…

Everybody knows about Gaussian distribution, and Gaussian is very popular in Bayesian world and even in our life. This article summaries typical operation of Gaussian, and something about Truncated Guassian distribution. pdf(probability density funct…

实例代码: \begin{table}[h] \centering \begin{tabular}{|c|c|} \hline \textbf{Distribution} & \textbf{Conjugate Prior} \\ \hline Bernoulli distribution & Beta distribution\\ \hline Multinomial distribution & Dirichlet distribution\\ \hline Gassian,G…

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks 理解深度卷积神经网络中的有效感受野 Abstract摘要 We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many vis…

梯度下降 一.亲手实现“梯度下降” 以下内容其实就是<手动实现简单的梯度下降>. 神经网络的实践笔记,主要包括: Logistic分类函数 反向传播相关内容 Link: http://peterroelants.github.io/posts/neural_network_implementation_part01/ 中文版: http://www.jianshu.com/p/0da9eb3fd06b 1. 生成训练数据 由“目标函数+随机噪声”生成. import numpy as np i…

遗传方差:遗传方差又称表型方差(phenotypic variance),通常结合基因型方差(genotype variance)和环境方差(environmental variance).遗传方差主要包括三方面:加性遗传方差(Additive genetic variance).显性遗传方差(Dominance genetic variance)和上位遗传方差(Epistatic genetic variance) 如下图所示: 假设有三个基因座(locus 1, locus 2, locus…