https://github.com/songhan/SqueezeNet-Deep-Compression import sys import os import numpy as np import pickle help_ = ''' Usage: decode.py <net.prototxt> <net.binary> <target.caffemodel> Set variable CAFFE_ROOT as root of caffe before run…
Survey Recent Advances in Efficient Computation of Deep Convolutional Neural Networks, [arxiv '18] A Survey of Model Compression and Acceleration for Deep Neural Networks [arXiv '17] Quantization The ZipML Framework for Training Models with End-to-En…
2016ICLR最佳论文 Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Codin 主要针对神经网络模型巨大,在嵌入式机器中比较难运行的问题. abstruct 压缩网络包括三个阶段:pruning, trained quantization and Huffman coding,能将模型减小1/35~1/49,并且不影响精度.首先 只通过学习重要…
论文地址:面向基于深度学习的语音增强模型压缩 论文代码:没开源,鼓励大家去向作者要呀,作者是中国人,在语音增强领域 深耕多年 引用格式:Tan K, Wang D L. Towards model compression for deep learning based speech enhancem…
A Full Hardware Guide to Deep Learning Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning sy…
两派 1. 新的卷机计算方法 这种是直接提出新的卷机计算方式,从而减少参数,达到压缩模型的效果,例如SqueezedNet,mobileNet SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size 修改网络结构,类似于mobileNet MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Appli…
Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer Vision/iOS | 03/01/2017 If you are a newcomer to the Deep Learning area, the first question you may have is “Which paper should I start reading from?…
1. Parameter pruning and sharing 1.1 Quantization and Binarization Compressing deep convolutional networks using vector quantization Quantized convolutional neural networks for mobile devices Improving the speed of neural networks on cpus Deep learni…
As far as I know and have understood in my experience with Qt, it's a very good and easy to learn library. It has a very well designed API and is cross-platform, and these are just two of the many features that make it attractive. I'm interested to k…
Pull requestsIssues Marketplace Explore Learn Git and GitHub without any code! Using the Hello World guide, you’ll start a branch, write comments, and open a pull request. Read the guide Watch 2,133 Star23,826 Fork5,417 floodsung/Dee…
这篇blog,原来是西弗吉利亚大学的Li xin整理的,CV代码相当的全,不知道要经过多长时间的积累才会有这么丰富的资源,在此谢谢LI Xin .我现在分享给大家,希望可以共同进步!还有,我需要说一下,不管你的理论有多么漂亮,不管你有多聪明,如果没有实验来证明,那么都是错误的. OK~本博文未经允许,禁止转载哦! By wei shen Reproducible Research in Computational Science “It doesn't matter how beautif…
How Does #DeepDream Work? Do neural networks hallucinate of electronic dogs? If you’ve been browsing the net recently, you might have stumbled on some strange-looking images, with pieces of dog heads, eyes, legs and what looks like buildings, sometim…
Posted on 19/09/2014 by Stewart Smith So, I’ve been looking around for a while (and a few times now) for any good resources that cover a bunch of MySQL architecture and technical details aimed towards the technically proficient but not MySQL literate…
这里主要更新一下kafka 0.10.0版本的message消息格式的变化. message 的格式在0.10.0的版本里发生了一些变化(相对于0.8.2.1的版本)这里把0.10.0的message的代码分析一下. message的格式定义在源代码目录message目录里的Message.scala的源代码目录里.下面看一下主要代码. object Message { /** * The current offset and size for all the fixed-length fiel…
目录 Abstract 1 Introduction 1.1 Binary weight networks and model compression 2 Ternary weight networks 2.1 Problem formulation 2.2 Approximated solution with threshold-based ternary function 2.3 Training with stochastic gradient descent method 2.4 Mod…
REF: how-to-generate-client-codes-for-kubernetes-custom-resource-definitions-crd Firstly we need to install golang. 1. the api spec looks like: # Definition --- apiVersion: apiextensions.k8s.io/v1beta1 kind: CustomResourceDefinition metadata: name: h…
