How to improve the classification accuracy of cifar-10 data set
1, Problem description
When dealing with image recognition or image classification or other machine learning tasks, we are always confused about what improvements can improve the performance of the model (recognition rate, classification accuracy)... Or what parameters are we adj ...
Added by alex2046 on Tue, 08 Feb 2022 12:10:37 +0200
Pytorch:Hollow Convolution Neural Network
Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology
This tutorial is not commercial and is only for learning and reference exchange. If you need to reproduce it, please contact me.
Void convolut ...
Added by masalastican on Thu, 03 Feb 2022 19:36:21 +0200
In the time domain, the method to describe the characteristics of the system is the difference equation and the unit impulse response. In the frequency domain, the method of describing the characteristics of the system can be the system function Linear time invariant property of system, causality, stability Stability is that the system can obta ...
Added by refiking on Fri, 21 Jan 2022 02:40:09 +0200
Abstract: the content of this article is my understanding in the process of learning Deep Learning, and the code is written by myself (the code ability is not very strong). If there is something wrong, you are welcome to point out and correct it.
Why use convolutional neural network
There are two problems when processing pictures using a ...
Added by arie_parie on Tue, 18 Jan 2022 05:55:11 +0200
SAR Target Classification Based on full convolution network
1. MSTAR dataset expansion
In the original SAR image (128) × 128) random clipping 88 × 88 slices, each slice can contain the target area, and the number of samples can reach (128-88 + 1) after random sampling × (128-88 + 1) = 1681 times, each SAR image of each c ...
Added by salih0vicX on Mon, 20 Dec 2021 07:29:15 +0200