rprop algorithm

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Opencv--ann Neural Network

Ann--artificial Neural Networks Artificial Neural network//defining artificial Neural networksCVANN_MLP BP; //Set up bpnetwork ' s parametersCvann_mlp_trainparamsparams; params. train_method=Cvann_mlp_trainparams::backprop; params. bp_dw_scale=0.1;

The use of neural network in "pattern recognition" OpenCV CVANN_MLP_OPENCV

The OpenCV ml module implements the most typical multilayer perceptron (multi-layer perceptrons, MLP) model of the Artificial neural network (Artificial neural Networks, ANN). Since the algorithm implemented by ML model inherits from the unified

Recommended! Machine Learning Resources compiled by programmers abroad)

This article is translated from awesome-machine-learning by bole online-toolate. Welcome to the technical translation team. For more information, see the requirements at the end of the article. This article has compiled some frameworks, libraries,

Machine Learning Resources overview [go]

This article has compiled some frameworks, libraries, and software (sorted by programming language) in the machine learning field ).C ++ Computer Vision CCV-Machine Vision Library Based on C Language/provided Cache/core, novel machine vision

[Machine Learning] Computer learning resources compiled by foreign programmers

This article compiles a number of frameworks, libraries, and software (sorted by programming language) for the machine learning domain.1. c++1.1 Computer Vision ccv-based on C language/provide cache/core machine Vision Library, novel

Training Deep Neural Networks

Http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html//reprinted in Training deep neural NetworksPublished: The Oct Category: deep_learning TutorialsPopular Training approaches of Dnns?—? A Quick Overviewhttps://medium.com/@asjad/

Stochastic Optimization Techniques

Stochastic Optimization TechniquesNeural networks is often trained stochastically, i.e. using a method where the objective function changes at each Iterati On. This stochastic variation are due to the model being trained on different data during

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