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Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) Integrated learning: Bagging, random forest, Boosting, GBDT Integrated learning: XGBoost Integrated learning: lightGBM (I) Integrated learning: lightGBM (II) 5.1 principle of xgboost algorithm XGBoost (Extreme Gradient Boosting ...

We introduced how to call the construction method of the parent class under inheritance. How to call the method of the parent class under multiple inheritance? Although we need to be careful when using multiple inheritance, multiple inheritance can be seen everywhere in actual project development. Therefore, it is necessary to understand the me ...

catalogue 1, Structural element 2, Swell 1. Principle 2. Dilation function 3. Code 4. Effect 3, Corrode 1. Principle 2. Corrosion function (erode) 3. Code 4. Effect 4, Simple operation - callback function and slider 1. Callback function 2. Slider creation 3. Code 4. Effect reference material 1, Structural element The ge ...

positive? inactive? Neutral? Sentences can be analyzed using the Stanford CoreNLP component and a few lines of code. This article describes how to implement such tasks in Java using emotion tools integrated into Stanford CoreNLP, an open source library for natural language processing. Stanford CoreNLP emotion classifier To perfor ...

Original link: http://tecdat.cn/?p=12227Original source: Tuo end data tribal official accountabstractThis paper describes the analysis process of Markov transformation model in R language. Firstly, the simulation data set is modeled in detail. Next, the Markov transformation model is fitted to a real data set with discrete response variables. D ...

IO stream introduction IO: input / output Stream: an abstract concept, which is the general term for data transmission In other words, the transmission of data between devices is called stream, and the essence of stream is data transmission IO stream is used to deal with data transmission between devices Common applications: file replica ...

introduction For the author, the most important thing to learn mmdetection is to learn how to DIY your own model, so it is very important to understand how the classical model is built step by step. This chapter will start from scratch and deconstruct the construction process of the one-stage detection model (taking FCOS as an example) in ...

Opencv java to achieve basic graphics operations This is the second blog I came up with after I finished my image processing homework. In the last issue, I briefly introduced how to use opencv in the springboot environment. In this issue, I will continue to briefly talk about the basic operation of OpenCV in Java version. In my understanding, ...

Machine learning DAY04 Cross validation Due to the uncertainty of data set division, if the randomly divided samples are just in a special class of samples, the reliability of the results predicted by the training model will be questioned. Therefore, it is necessary to conduct multiple cross validation, divide all samples in the sample space ...

Original link: http://tecdat.cn/?p=24761 This document uses some exploratory data analysis to develop the rating curve and flow prediction of the river. The purpose is to create and update rating curves using (1) instantaneous flow measured during periodic deployment of bottom mounted units and (2) instantaneous depth measurements from water le ...