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The training of Hidden Markov model and hidden Markov model

The development of probability theory from random variables (relatively static) to relatively dynamic stochastic processes should be a big leap forward!The so-called stochastic process is the process of changing state over time.In other words, each moment corresponds to a state. The process of changing the state to (the next moment) is the (random) process.The so-called stochastic means that the state of a given moment is not exactly known (dynamic, random) so it is random.Markov chain (Markov)

Using the Caffe Training model (solver, deploy, Train_val) +python use the trained model __python

This part of the content from the CDA in-depth learning combat classroom, taught by Tang Yudi if you attempt to use the CPU to train the model, then you are crazy ... In the training model, the most time-consuming factor is the size of the image, the general 227*227 with the CPU to train, training 10,000 times may be more than 1 weeks time. Different network structure, there may be different picture size ne

Extjs model data entity model

1. extjs Data Model Basics Three important types of extjs data packets: Model (data entity model), store (data set), and proxy (Data proxy) The data model of extjs mainly includes: Data entity model: ModelThe data entity model

Chapter two stationary time series model--ar (p), MA (q), ARMA (P,Q) model and its stationarity

1 White noise process:0 mean, same variance, no autocorrelation (covariance is 0)in the future we encounter the Efshow if not specifically described, is the white noise process. for normal distribution, irrelevant can be introduced independently, so if the white noise is normal distribution, it will also be independent of each other. 2 various and modelsP-Order moving average process:Q-Order autoregressive process:Autoregressive Moving Average model:if the characteristic root of an arma (P,Q)

Linear model (2)--Generalized linear model

Outline: Review multivariate linear regression The basic form of generalized linear model Logarithmic linear regression Learning and reference 1. Review multivariate linear regressionIn the last essay, the basic form of a linear model--multivariate linear regression--is described as follows:Figure AIn multivariate linear regression, the predicted values of the

Summary of the mechanism provided by Model metadata and summary of model metadata

Summary of the mechanism provided by Model metadata and summary of model metadata   At the very beginning, I have to talk about this part of the situation. At the beginning, I was dizzy by various ModelMetadata and various ModelMetadataProvider. It took me a lot of time to read several pages, after looking at a class chart, I will take a closer look at the relationships between classes and read this part ag

Database Table relational model resolution 7 -- one table in the many-to-many data model is a self-join

Document directory View code in MVC Controller code in MVC Model Code in MVC In this section, we detail how to add, delete, modify, and query a table in a multi-data model in a real project.The langben code generator can automatically generate ASP. NET pages and background code.The technologies used by the generated project include jquery + MVC + Entity Framework. In practical development, we use pow

Differences between an ISO 7-layer model and an ISO 5-Layer Model

Differences between an ISO 7-layer model and an ISO 5-Layer Model TCP/IPThe layered model (TCP/IP layering model) is also known as the Internet layered model or the Internet Reference Model (InternetReference

Dedecms independent model paging function is complete, dedecms independent model Paging

Dedecms independent model paging function is complete, dedecms independent model Paging Dedecms actually has no architecture problems, but it is estimated that some of the functions are implemented by new users. There are many areas to be improved, such as the paging function, from the code, we can see that the person in charge was perfunctory at that time. If two pages are displayed on the dede page, the t

Design Model-introduction and factory model (flat management mode VS professional manager mode), vs Professional Manager

Design Model-introduction and factory model (flat management mode VS professional manager mode), vs Professional Manager This article will give a brief explanation of the design model, especially the concise analysis of the factory model:I. Classification of design patterns There are five creation modes: Factory method mode, abstract factory mode, Singleton mode,

Model and BLL layer model conversion in MVC

1. there are two models: the congestion model and the blood loss model. The general practice is that the model is the model, and there is no way to operate it. It only has attributes. This model is called the blood loss model (whi

Probability graph model (PGM) learning notes (5)-template Model

Template models mainly includes templatevariables and language ). The template model can be applied to an infinitely large Bayesian Network; The template variable is a variable that has been reused multiple times: Such as location (time), genotype (characters), tags (pixels), difficulty (course), and so on. Language is used to describe how template variables inherit Dependencies from templates. There are many languages, and various languages have

ThinkPHP model definition and thinkphp Model

ThinkPHP model definition and thinkphp ModelThe Model class is generally located under the Lib/Model directory of the Project. When we create a UserModel class, we have actually followed the system conventions. The naming rule for Model classes is to remove the table prefix from the table name. The data table names are

Production model and discriminant model

The difference between discriminant model and generative modelThe production model (generative models) and discriminant models (Discrimitive model) are the concepts commonly encountered by classifiers, which differ in the following:For input x, category label Y:The generation model estimates their joint probability dis

Introduction to the implementation principle of the Vue v-model command, vuev-model

Introduction to the implementation principle of the Vue v-model command, vuev-model Vue's v-model is a very powerful command that automatically binds the value of the native form component to the value you choose, Let's take a look at its effect: The value of the input box is bound to a data. The value of the input box changes, and the value bound to the input bo

Ngram model Chinese corpus experiment step by step (2)-ngram Model Data Structure Representation and Creation

The n-yuan ngram model is essentially Trie treeStructure Layer-by-layer status transfer. Sun pinyin uses the vector representation layer by layer in order.Layer-by-layer Binary Search. Sun pinyin's method for creating the ngram model is alsoSort the Created. Sequential storage + binary search should be the most space-saving. However, the efficiency must be affected. Other trie tree implementations include m

Ising model (Ising model)

The Ising model (Ising model) is one of the simplest and can provide very rich physical content of the model. It can be used to describe very many physical phenomena, such as: ordered-disordered transformation in alloys, transition from liquid helium to super-flow, freezing and evaporation of liquids, properties of glass material, forest fire, urban transportatio

Similarities and differences between TCP/IP Reference Model and OSI reference model

The OSI reference model has many similarities with the TCP/IP reference model. They are based on the concept of an independent protocol stack. In addition, the features of the layer are similar. For example, in the two models, the transmission layer and above all provide end-to-end and network-independent transmission services for processes that want to communicate. These layers form a transport provider. S

Talk about the box model and the box model from a foreign language

Talk about the box model and the box model from a foreign language Talk about the box model from a foreign language Statement: As an old cainiao who is involved in the front-end, there will certainly be some deviations in understanding the knowledge. I would like to remind you of this. In my opinion, understanding the box mo

Discriminant model and generative model in machine learning-machine learning

What are two models? We have come to these two concepts from a few words:1, machine learning is divided into supervised machine learning and unsupervised machine learning;2, supervised machine learning is known as training set data categories to train the classifier, unsupervised machine learning is not aware of the category of training sets to train the classifier;3, so that the supervised machine learning can be abstracted as a task of classification, and the basic completion of unsupervised i

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