Programmer Think

1, Experimental purpose By learning BP neural network technology, handwritten digits are recognized, and the recognition rate is improved by structure based recognition method and template matching method. 2, Experimental equipment PC      matlab software 3, Experimental content According to the BP neural network design ...

  What is Logistic regression?          Since the principle of Logistic Regression is to map the results of linear regression (-,) to (0,1) using logical functions, linear regression functions and logical functions are introduced first.                   &nbs ...

ResNet-18:Train and Test Records **Invariant: * * 200 rounds, ResNet18, input image size 32 (pad=4, randomCrop=32), batchsize=256 **Variables: * * learning rate, optimizer, policy Note: because the experiment is at 32 × 32, so maxpooling (thank to teacher shi.) should not be used before the second layer, but I didn't know at the be ...

catalogue 1, Naive Bayes The so-called "simplicity" means that each attribute is independent of each other. Naive Bayes formula: 2, Text categorization using Python 3, Spam filtering using naive Bayes 1, Naive Bayes 1. Conditional probability knowledge: the occurrence probability of event A under the condition that anoth ...

Linear model and regression Objective: to learn a linear model to predict real value output markers as accurately as possible. Where yi is the actual observed value and f (xi) is the regression value. General form: Where x=(x1, x2,..., xd) is the sample described by the d-dimensional attribute, where xi is the value of X on the ith at ...

I. Introduction   the first step in the data mining competition is not what model and method you want to use, but to understand the background of the competition first. You need to carefully read the official background of the game, and then consult relevant materials to have an in-depth understanding of the problem scene. We may have a g ...

[source code analysis] PyTorch distributed (6) - DistributedDataParallel - initialize & store 0x00 summary This article is the sixth in the PyTorch distributed series. It introduces the initialization method and Store that the distributed dataparallel depends on. Other articles in this series are as follows: This series of articles ...

Above, we used pytorch to build BP neural network. This time, we will build CNN's classic network LeNet or MNIST dataset. The specific data acquisition methods are not introduced in detail in this paper, but only how to build a model and train the dataset. LeNet neural network was proposed by Yan LeCun, one of the three giants of deep learning. ...

Overview of whale optimization algorithm Whale Optimization Algorithm (WOA) is a meta heuristic algorithm based on humpback whale hunting method proposed by Mirjalili in 2016. It has been successfully applied to various complex discrete optimization problems, such as resource scheduling problem, construction site workflow planning, location an ...

Premise: software installation and learning video explanation When we use the neural network in openmv, there is no nn library for you to call in the new version. It needs to be in the old version. Baidu cloud link: https://pan.baidu.com/s/1bgLiLMxyqqL9X3h5dN8cZA   Extraction code: behn   (can you praise this alone) The basic and u ...