这是用Python实现的Neural Networks, 基于Python 2.7.9, numpy, matplotlib. 代码来源于斯坦福大学的课程: http://cs231n.github.io/neural-networks-case-study/ 基本是照搬过来,通过这个程序有助于了解python语法,以及Neural Networks 的原理. import numpy as np import matplotlib.pyplot as plt N = 200 # number…

原文:written by Sebastian Raschka on March 14, 2015 中文版译文:伯乐在线 - atmanic 翻译,toolate 校稿 This article offers a brief glimpse of the history and basic concepts of machine learning. We will take a look at the first algorithmically described neural network…

今天看到一篇关于检测的论文<SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving>,论文中的效果还不错,后来查了一下,有一个Tensorflow版本的实现,因此在自己的机器上配置了Tensorflow的环境,然后将其给出的demo跑通了,其中遇到了一些小问题,通过查找网络上的资料解决掉了,在这里…

零.说明: 本文的所有代码均可在 DML 找到,欢迎点星星. 注.CNN的这份代码非常慢,基本上没有实际使用的可能,所以我只是发出来,代表我还是实践过而已 一.引入: CNN这个模型实在是有些年份了,最近随着深度学习的兴起又开始焕发青春了,把imagenet测试的准确度提高了非常多,一个是Alex的工作,然后最近好像Zeiler又有突破性的成果,可惜这些我都没看过,主要是imagenet的数据太大了,我根本没有可能跑得动,所以学习的积极性有些打折扣.不说那么多,还是先实现一个最基础的CNN再说吧…

循环神经网络(RNN, Recurrent Neural Networks)介绍    这篇文章很多内容是参考:http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/,在这篇文章中,加入了一些新的内容与一些自己的理解.   循环神经网络(Recurrent Neural Networks,RNNs)已经在众多自然语言处理(Natural Language Proce…

http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html  //转载于 Training Deep Neural Networks  Published: 09 Oct 2015  Category: deep_learning Tutorials Popular Training Approaches of DNNs — A Quick Overview https://medium.com/@asjad/p…

Hacker's guide to Neural Networks Hi there, I'm a CS PhD student at Stanford. I've worked on Deep Learning for a few years as part of my research and among several of my related pet projects is ConvNetJS - a Javascript library for training Neural Net…

一. 预备知识 包括 Linear Regression, Logistic Regression和 Multi-Layer Neural Network.参考 http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/ 或者coursera看Andrew Ng 的机器学习课程.二者只是在某些公式表达上有细微的差距. 二. 卷积神经网络CONVNET 此部分来自 http://m.blog.csdn.net/ar…

When a golf player is first learning to play golf, they usually spend most of their time developing a basic swing. Only gradually do they develop other shots, learning to chip, draw and fade the ball, building on and modifying their basic swing. In a…

Introduction to Deep Neural Networks Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw…