ContentsSection I FundamentalsChapter 1 Introduction1.1 Practical Needs for Image and Video Compression1.2 Feasibility of Image and Video Compression1.2.1 Statistical Redundancy1.2.2 Psychovisual Redundancy1.3 Visual Quality Measurement 1.3.1 Subjec
深度学习之卷积神经网络CNN做手写体识别的VS代码。支持linux版本和VS2012版本。 tiny-cnn: A C++11 implementation of convolutional neural networks ======== tiny-cnn is a C++11 implementation of convolutional neural networks. design principle ----- * fast, without GPU 98.8% accuracy o
Contents 1. Introduction to Deep Learning (DL) in Neural Networks (NNs)...................................................................................................................................... 86 2. Event-oriented notation for activatio
CHANGE LOG for Independent JPEG Group's JPEG software Version 9a 19-Jan-2014 ----------------------- Add support for wide gamut color spaces (JFIF version 2). Improve clarity and accuracy in color conversion modules. Note: Requires rebuild of test i
PhotoView PhotoView aims to help produce an easily usable implementation of a zooming Android ImageView. Branch Develop: Build Status Branch Master: Build Status PhotoView Features Out of the box zooming, using multi-touch and double-tap. Scrolling,
Deep learning .................................................. 417 10.1 Deep Feedforward Networks ...................................................420 The MNIST Evaluation ........................................................... 421 Losses an
深度学习工具包 Deprecation notice. ----- This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [te
cximage600_demo.zip 别人写的 Preface Years after the previous version, I can tell that the article has survived its author, and even if my opinion on the limits of this library has not changed, an update was really necessary. Thank you very much to all
1 Introduction 1 1.1 Classical and robust approaches to statistics 1 1.2 Mean and standard deviation 2 1.3 The “three-sigma edit” rule 5 1.4 Linear regression 7 1.4.1 Straight-line regression 7 1.4.2 Multiple linear regression 9 1.5 Correlation coef
[Serializable] public class EXIF { #region -- Class level members -- // Class level members. private Image _picture; #endregion #region -- Constructors -- // Constructors. /// /// This is default constructor of the EXIF class. /// public EXIF() {
语音信号处理的工具箱 function [lev,fso]=activlev(sp,fs,mode) %ACTIVLEV Measure active speech level as in ITU-T P.56 [LEV,FSO]=(SP,FS,MODE) % %Inputs: SP is the speech signal (with better than 20dB SNR) % FS is the sample frequency in Hz (see also FSO below) %
The first CNN appeared in the work of Fukushima in 1980 and was called Neocognitron. The basic architectural ideas behind the CNN (local receptive fields,shared weights, and spatial or temporal subsampling) allow such networks to achieve some degree