# 人工智能资料库：第29辑（20170210） 转

AllenOR灵感

1. 【博客】A Comprehensive Introduction to Word Vector Representations

Making a computer mimic the human cognitive function of understanding text is a really hot topic nowadays. Applications range from sentiment analysis to text summary and language translation among others. We call this field of computer science and artificial intelligence Natural Language Processing, or NLP (gosh, please don’t confuse with Neuro-linguistic Programming).

2.【博客】Linear Regression Geometry

Linear Regression is one of the most widely used statistical model used in many situations.If we have Y variable which in continuous i.e. can take decimal values, and is expected to have linear relation with X variables, this relation could be modeled as linear regression, mostly the first model to fit,if we are planning to develop a model of forecasting Y or trying to build hypothesis about relation Xs on Y.

The general approch is to understand the theory based on principle of "minimum" square error and we derive the solution using minimization of functions through calculus,however it has a nice geometric intuition, if we use the tricks or methods related to solving an over-determined system

3.【博客】Generating Large Images from Latent Vectors

In some domains of digital generative art, an artist would typically not work with an image editor directly to create an artwork. Typically, the artist would program a set of routines that would generate the actual images. These routines compose of instructions to tell the machine to draw lines and shapes at certain coordinates, and manipulate colours in some mathematically defined way. The final artwork, which may be presented as a pixellated image, or printed out on physical medium, can be entirely captured and defined by a set of mathematical routines.

Many natural images have interesting mathematical properties. Simple math functions have been written to generate natural fractal-like patterns such as tree branches and snowflakes. Like fractals, a simple set of mathematical rules can sometimes generate a highly complicated image that can be zoomed-in or zoomed-out indefinitely.

4.【论文】Adversarial Attacks on Neural Network Policies

Machine learning classifiers are known to be vulnerable to inputs maliciously constructed by adversaries to force misclassification. Such adversarial examples have been extensively studied in the context of computer vision applications. In this work, we show that adversarial attacks are also effective when targeting neural network policies in reinforcement learning. Specifically, we show that existing adversarial example crafting techniques can be used to significantly degrade the test-time performance of trained policies. Our threat model considers adversaries capable of introducing small perturbations to the raw input of the policy. We characterize the degree of vulnerability across tasks and training algorithms, for a subclass of adversarial-example attacks in white-box and black-box settings. Regardless of the learned task or training algorithm, we observe a significant drop in performance, even with small adversarial perturbations that do not interfere with human perception.

5.【博客】Apple’s deep learning frameworks: BNNS vs. Metal CNN

With iOS 10, Apple introduced two new frameworks for doing deep learning on iOS: BNNS and MPSCNN.
BNNS, or bananas Basic Neural Network Subroutines, is part of the Accelerate framework, a collection of math functions that take full advantage of the CPU’s fast vector instructions.

MPSCNN is part of Metal Performance Shaders, a library of optimized compute kernels that run on the GPU instead of on the CPU.

So… as iOS developers we now have two APIs for deep learning that appear to do pretty much the same thing.
Which one should you pick?
In this blog post we’ll put BNNS and MPSCNN head-to-head to examine their differences. We also make both APIs take a speed test to see which is fastest.

### AllenOR灵感

Thomson Reuters 28 日报导，根据美国智库“新美国安全中心”（CNAS）专家 Elsa Kania 发布的报告，中国在科技领域已经不比美国差，可能已有能力在人工智能（AI）项目超越美国。 Alphabet I...

moneydj
2017/11/29
0
0

【Technews科技新报】预测时尚潮流是一项需要天分的工作，还得仰赖一个庞大的系统让少数人追捧的时尚进入大众流行市场，进而让业者赚取大笔钞票。现在预测工作也可以交给人工智能，让服饰业者...

2017/12/26
0
0
CCF-GAIR 2018 第一批包机酒学生名单出炉！AI 科技评论请你来参加CCF-GAIR大会啦！

CCF - GAIR 2018 将于 6 月 29 日 至 7 月 1 日 在深圳举行。 三天议程及强大阵容已经陆续出炉。 6 月 8 日， 雷锋网旗下学术频道 AI 科技评论启动了 CCF-GAIR 2018 的免费门票申请通道， 并...

06/16
0
0

2017/06/03
0
0
Bixby 语音助理遭嫌弃，三星购并韩 AI 业者求翻身

moneydj
2017/11/29
0
0

sanman
06/30
0
0

“AI正在成就人类。”5月25日，阿里巴巴深度学习小组组长、阿里妈妈展示广告负责人盖坤受邀来到法国Viva Technology峰会，发表名为《How Algorithms Enable Real-time Business Optimization...

05/29
0
0

【Technews科技新报】目前医生在依据乳房摄影判断乳癌发生的情况下，有四分之一的乳癌无法被及时判断发现。为了提升乳癌确诊的效率，科学家计划以数百万包含了健康女性以及患有乳癌的女性乳房...

04/16
0
0

zhouzxi
2017/07/15
0
0

AI可以说是时下最热门的话题之一，也是众多程序员关注的主题，那么如果你想要入门AI，需要这些什么呢？ 0.了解它！ 无论是学习什么，你总要知道这几个问题： a.它是什么？ b.能做什么？ c.有...

07/02
0
0

Java基础——异常

10分钟前
0
0

13分钟前
0
0
SBT 常用开发技巧

SBT 一直以来都是 Scala 开发者不可言说的痛，最主要的原因就是官方文档维护质量较差，没有经过系统的、循序渐进式的整理，导致初学者入门门槛较高。虽然也有其它构建工具可以选择(例如 Mill...

joymufeng
18分钟前
0
0
HBase in Practice - 性能、监控及问题解决

19分钟前
1
0
ES18-JAVA API 批量操作

1.批量查询 Multi Get API public static void multiGet() {// 批量查询MultiGetResponse response = getClient().prepareMultiGet().add("my_person", "my_index", "1")// 查......

23分钟前
0
0
SpringBoot2.0使用health

1，引入actuator <dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-actuator</artifactId></dependency> 2，application.properties ......

30分钟前
0
0

###编程规约 命名风格 【强制】代码中的命名均不能以下划线或美元符号开始，也不能以下划线或美元符号结束 【强制】代码中的命名严禁使用拼音与英文混合的方式，更不允许直接使用中文的方式。...

35分钟前
0
0

durban
39分钟前
0
0

LM_Mike
57分钟前
0
0
2018年7月23日课程

0
0