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Day 1: Setting up ROS: Indigo OS: Ubuntu 14.04 OS: Gazebo 7.0.0 Initialize the workspace To create the basic skeleton of the directory structure, we begin with a workspace {WORKSPACE}_ws, where we set {WORKSPACE}=mybot. cd ~ mkdir -p mybot_ws/src cd…

Predicting effects of noncoding variants with deep learning–based sequence model PDF Interpreting noncoding variants- 非常好的学习资料 这篇文章的第一个亮点就是直接从序列开始分析,第二就是使用深度学习获得了很好的预测效果. This is, to our knowledge, the first approach for prioritization of functional…

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Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…

前言: 听说Pylearn2是个蛮适合搞深度学习的库,它建立在Theano之上,支持GPU(估计得以后工作才玩这个,现在木有这个硬件条件)运算,由DL大牛Bengio小组弄出来的,再加上Pylearn2里面已经集成了一部分常见的DL算法,本着很想读读这些算法的源码和细节这一想法,打算学习下Pylearn2的使用. 网上这方面的中文资料简直是太少了,虽然本博文没什么实质内容,但也写贴出来,说不定可以帮到一些初学者. 从Bengio的一篇paper: Pylearn2: a machine lear…

Learning to Rank入门小结 + 漫谈 Learning to Rank入门小结 Table of Contents 1 前言 2 LTR流程 3 训练数据的获取4 特征抽取 3.1 人工标注 3.2 搜索日志 3.3 公共数据集 5 模型训练 5.1 训练方法 5.1.1 Pointwise 5.1.2 Pairwise 5.1.3 Listwise 6 效果评估7 参考 6.1 NDCG(Normalized Discounted Cumulative Gain) 6.1.1 定…

Why are very few schools involved in deep learning research? Why are they still hooked on to Bayesian methods? First, this question assumes that every university should have a "deep learning" person.  Deep learning is mostly used in vision (and…

A Statistical View of Deep Learning (II): Auto-encoders and Free Energy With the success of discriminative modelling using deep feedforward neural networks (or using an alternative statistical lens, recursive generalised linear models) in numerous in…

一.C代码 静态库 四个.h.c文件 add.h #ifndef ADD_H #define ADD_H int add(int a,int b); #endif add.c #include <stdio.h> int add(int a,int b) { printf("%d %d\n",a,b); return (a + b); } decrease.h #ifndef DECREASE_H #define DECREASE_H int decrease(int a,…

最近关注了一些Deep Learning在Information Retrieval领域的应用,得益于Deep Model在对文本的表达上展现的优势(比如RNN和CNN),我相信在IR的领域引入Deep Model也会取得很好的效果. IR的范围可能会很广,比如传统的Search Engine(query retrieves documents),Recommendation System(user retrieves items)或者Retrieval based Question Answe…

About me In my spare time, I love learning new technologies and going to hackathons. Our hackathon project Pantrylogs using Artificial Intelligence was selected as one of the 10 Microsoft Imagine Cup UK finalists. I’m interested in learning more abou…

https://blog.csdn.net/kunlong0909/article/details/16805889 Table of Contents 1 前言 2 LTR流程 3 训练数据的获取4 特征抽取 3.1 人工标注 3.2 搜索日志 3.3 公共数据集 5 模型训练 5.1 训练方法 5.1.1 Pointwise 5.1.2 Pairwise 5.1.3 Listwise 6 效果评估7 参考 6.1 NDCG(Normalized Discounted Cumulative G…

Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance 2018-12-19 13:02:45 This blog is copied from: https://machinelearningmastery.com/ensemble-methods-for-deep-learning-neural-networks/ Deep learning neural ne…

Understanding Memory in Deep Learning Systems: The Neuroscience, Psychology and Technology Perspectives 2018-08-05 18:50:06 This blog is copied from: https://towardsdatascience.com/understanding-memory-in-deep-learning-systems-the-neuroscience-psycho…