A Java Library for Digital Signal Processing
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Updated
Nov 4, 2024 - Java
A Java Library for Digital Signal Processing
Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.
WebApp with SpringBoot backend implementing 26 Image Processing algorithms
用java实现了一种流处理版本的二维图像窗口遍历算法,基于FIFO读取输入数据流,并实时计算局部窗口数据。可用于sobel滤波,高斯滤波,上下采样等图像处理。
Convolut0r allows to manipulate images using (custom and preset) Convolutions.
Logistic growth applied to Covid-19 - A naive approach to predict the spread of virus
Some algorithms implemented as a part of the image processing course
JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix
android convolution image filter implemented with renderscript
Through representation of discrete signals with arrays we can perform several operations over them. For example: convolution, amplification, interpolation, etc.
Java Matrix operations Implementation Library
Digital Image Processing
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