Machine learning grid search parameters sklearn

grid search Grid Search GridSearchCV We have two ways to select hyperparameters: 1. Based on experience; 2. Select parameters of different sizes, bring them into the model, and select the parameters with the best performance. When selecting hyperparameters through Path 2, the cost of manual manual adjustment of attention is too high to be wort ...

Posted by AudiS2 on Wed, 05 Oct 2022 02:18:52 +0300

Pytorch Essay (Introduction to the Speed ​​of Light)

This article is only for novices like me, please detour! When I was flipping through my notes, I found this blog post: Aha~ Take a day to quickly get started with Pytorch (probably the most complete process in the entire network from 0 to deployment) But I found that there is a part about the gradient that is not clear, because I disagree ...

Posted by paulspoon on Mon, 05 Sep 2022 20:59:18 +0300

In python -- try except ion exception exception capture, regularization and replacement of exception values

1. Exception handling process Exception Name:describeBaseExceptionBase class for all exceptionsSystemExitInterpreter request exitKeyboardInterruptUser interrupts execution (usually enter ^ C)ExceptionBase class for general errorStopIterationThe iterator has no more valuesGeneratorExitAn exception occurs in the generator to notify the exitStand ...

Posted by mduran on Fri, 26 Aug 2022 02:54:37 +0300

Retrace the long march - PaddleClas training ImageNet 1K dataset practice - background task version

Retrace the long march - PaddleClas training ImageNet 1K dataset practice Let's: reproduce the work of PaddleClas engineers Friendly reminder, the default configuration background task running time of this project is 100 hours for a single card and 25 hours for four cards! If you are not a local hero, please modify the Epoch value. Local ...

Posted by phui_99 on Sun, 14 Aug 2022 21:38:15 +0300

SimAM: attention mechanism without parameters

SimAM: attention mechanism without parameters abstract In this paper, we propose a simple but very effective attention module for convolutional neural networks. Compared with the existing channel Focus module and spatial focus module, our module does not need to add parameters to the original network, but infers the 3-D focus weight of the fe ...

Posted by czs on Sun, 14 Aug 2022 21:24:53 +0300

ROS robot development

Chapter I ROS Foundation 1.ROS installation http://wiki.ros.org/kinetic/Installtion/Source http://wiki.ros.org/kinetic/Installtion/Ubuntu https://blog.csdn.net/qq_44339029/article/details/120579608?spm=1001.2101.3001.6650.1&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7Edefault-1-120579608-blog-106 ...

Posted by Porl123 on Thu, 30 Jun 2022 21:54:29 +0300

libtorch study notes - MNIST combat

MNIST libtorch practical exercise Ready to work First download the MNIST database, http://yann.lecun.com/exdb/mnist/ After downloading, do not decompress it with software such as winrar. For example, t10k-images-idx3-ubyte is decompressed into t10k-images.idx3-ubyte. It is best to decompress it with tar in Linux environment. Suppose you unzip t ...

Posted by chrys on Wed, 25 May 2022 15:51:55 +0300

Regression Prediction of Vehicle Efficiency Using Fully Connected Neural Networks

Regression Prediction of Vehicle Efficiency Using Fully Connected Neural Networks keyword: fully connected neural network, tensorflow, regression illustrate It mainly uses the fully connected neural network to predict the regression problem of the car's performance index MPG. python packages include: os, pandas, tensorflow, sklearn, matplotlib ...

Posted by kevinc on Sun, 22 May 2022 19:00:03 +0300

Basic process of logistic regression and actual combat of iris project

1, Basic process of logistic regression 1. Logistic regression Learn the law from multiple eigenvalues of a group of samples, establish a model (the learning model is abstracted as a formula f(x)), and use this model to predict the results of other samples. Logistic regression is to classify the prediction results. Logistic regression steps: (1 ...

Posted by McMaster on Sun, 22 May 2022 15:13:52 +0300

SVD and CUR self summary

SVD and CUR self summary reference resources: https://www.cnblogs.com/endlesscoding/p/10033527.html https://blog.csdn.net/WangWeb1998/article/details/114376298 1. SVD (singular value decomposition) definition: There is one m × n ...

Posted by shruti on Sat, 21 May 2022 02:38:13 +0300