Programming VIP

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 ...

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 ...

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 ...

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 ...

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 ...