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
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
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
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
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 ...
Chapter I ROS Foundation
Posted by Porl123 on Thu, 30 Jun 2022 21:54:29 +0300
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
keyword: fully connected neural network, tensorflow, regression
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
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:
Posted by McMaster on Sun, 22 May 2022 15:13:52 +0300
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
Posted by shruti on Sat, 21 May 2022 02:38:13 +0300