Displaying 1-16 of 86 results for: deep learning
Displaying 1-16 of 86 results for: deep learning
Deep Learning - The Biggest Data Science Breakthrough of the Decade - ...
By Jeremy Howard
Publish Date: April 04, 2014
Machine learning and AI have appeared on the front page of the New York Times three times in recent memory: 1) When a computer beat the world's #1 chess player 2) When Watson beat the world's best Jeopardy players 3) When deep learning algorithms won...
How to Get Started with Deep Learning in Computer Vision - O'Reilly Media ...
By Pete Warden
Publish Date: June 01, 2015
Hosted By: Ben Lorica Watch the webcast recording There have been big improvements in image analysis over the last few years thanks to the adoption of deep learning neural networks to solve vision problems, but figuring out how to get ...
Introduction to Parallel Iterative Deep Learning on Hadoop’s Next -Generation...
By Josh Patterson, Adam Gibson
Publish Date: July 20, 2014
In this session, we will take a look at how we parallelize Deep Belief Networks in Deep Learning on the next -generation YARN framework Iterative Reduce and the parallel machine learning library Metronome. We’ll also take a look at some real world applications of Deep Learning on Hadoop such as image classification and NLP.
Deep learning made doubly easy with reusable deep features : Big Data ...
By Carlos Guestrin
Publish Date: May 05, 2015
Deep learning is a promising machine learning technique with a high barrier to entry. In this talk, we provide an easy entry into this field via "deep features" from pre-trained models. These features can be trained on one data set for one task and used to obtain good predictions on a different task, on a different data set. No prior experience is necessary.
Mocha.jl - Deep learning for Julia: Open Source Convention - O'Reilly OSCON, ...
By Chiyuan Zhang
Publish Date: July 20, 2015
Mocha.jl is an efficient and flexible deep learning framework for Julia. It supports multiple computation backends, leading to 20~30 times faster training on a modern GPU device. We will use an example to illustrate the user interfaces of Mocha.jl and also introduce the design and architecture behind the library implementations.
Deep Learning oral traditions - O'Reilly Radar
By Ben Lorica
Publish Date: October 20, 2013
This past week I had the good fortune of attending two great talks1 on Deep Learning, given by Googlers Ilya Sutskever and Jeff Dean. Much of the excitement surrounding...
Deep Learning and the Dream of AI: Strata Conference + Hadoop World 2013 - O ...
By Brandon Ballinger
Publish Date: October 28, 2013
Deep learning has upset the best results in speech recognition, computer vision, and other fields. How do deep neural nets work? What makes them different than the classical neural nets of the 70's? How is deep learning getting us closer to the original dream of AI -- machines that can think?
Beyond DNNs towards New Architectures for Deep Learning, with Applications to...
By Tara Sainath
Publish Date: February 17, 2015
DNNs were first explored for acoustic modeling, where numerous research labs demonstrated improvements in WER between 10-40% relative. In this talk, I will provide an overview of the latest improvements in deep learning across various research labs since the initial inception.
How to build and run your first deep learning network - O'Reilly Radar
By Pete Warden
Publish Date: July 23, 2014
When I first became interested in using deep learning for computer vision I found it hard to get started. There were only a couple of open source projects...
Building Machine Learning Systems with Python, 2nd Edition
By Luis Pedro Coelho, Willi Richert
Publisher: Packt Publishing
Release Date: March 2015
Learning Apache Kafka, 2nd Edition
By Nishant Garg
Publisher: Packt Publishing
Release Date: February 2015
What is deep learning, and why should you care? - O'Reilly Radar
By Pete Warden
Publish Date: July 14, 2014
Editor's note: this post is part of our Intelligence Matters investigation. When I first ran across the results in the Kaggle image-recognition competitions, I didn't believe them. I've...
Displaying 1-16 of 86 results for: deep learning的更多相关文章
- 16 On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima 1609.04836v1
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang N ...
- (转) Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance
Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance 2018-1 ...
- 《Deep Learning》（深度学习）中文版 开发下载
<Deep Learning>(深度学习)中文版开放下载 <Deep Learning>(深度学习)是一本皆在帮助学生和从业人员进入机器学习领域的教科书,以开源的形式免费在 ...
- 《Deep Learning》全书已完稿_附全书电子版
Deep Learning第一篇书籍最终问世了.站点链接: http://www.deeplearningbook.org/ Bengio大神的<Deep Learning>全书电子版在百 ...
- Deep Learning 16：用自编码器对数据进行降维_读论文“Reducing the Dimensionality of Data with Neural Networks”的笔记
前言 论文“Reducing the Dimensionality of Data with Neural Networks”是深度学习鼻祖hinton于2006年发表于<SCIENCE > ...
- Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - week1, Assignment(Regularization)
声明:所有内容来自coursera,作为个人学习笔记记录在这里. Regularization Welcome to the second assignment of this week. Deep ...
- How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras
Hyperparameter optimization is a big part of deep learning. The reason is that neural networks are n ...
- #Deep Learning回顾#之LeNet、AlexNet、GoogLeNet、VGG、ResNet
CNN的发展史 上一篇回顾讲的是2006年Hinton他们的Science Paper,当时提到,2006年虽然Deep Learning的概念被提出来了,但是学术界的大家还是表示不服.当时有流传的段 ...
- (转) Awesome Deep Learning
Awesome Deep Learning Table of Contents Free Online Books Courses Videos and Lectures Papers Tutori ...
随机推荐
- JAVA 强引用、软引用、弱引用、虚引用
http://www.cnblogs.com/absfree/p/5555687.html
- DataGrid缓冲加载数据
当datagrid的滚动条拉到4/3的时候去加载数据.. public MainWindow() { InitializeComponent(); ; i <= ; i++) { Class1 ...
- Linux多网卡多IP配置
echo "210 local100" >> /etc/iproute2/rt_tables echo "220 local200" >> ...
- TableView的优化
一:什么是TableView的优化以及为什么要优化 1)CPU(中央处理器)和GPU(图形处理器):CPU主要从事逻辑计算的一些工作:GPU主要从事图形处理方面的工作. 2)CPU和GPU的共同点: ...
- java转义xml中的多余尖括号
xml中的敏感字符是尖括号,如果xml的值中含有尖括号,那么在解析的时候就会报错,如: <?xml version="1.0" encoding="UTF-8&qu ...
- WTL的核心机制
WTL背景介绍 WTL是微软ATL开发组成员Nenad Stefanovic先生在ATL Windowing机制上发展起来的一整套GUI框架,运用template技术组织和创建GUI对象,构筑了精致的 ...
- .net+easyui系列--验证框
1.允许从 0 到 10个字符 <input id="vv" class="easyui-validatebox" data-options=" ...
- react-native之站在巨人的肩膀上
react-native之站在巨人的肩膀上 前方高能,大量图片,不过你一定会很爽.如果爽到了,请告诉我
- （转）Spring 读书笔记-----使用Spring容器（一）
Spring有两个核心接口:BeanFactory和ApplicationContext,其中ApplicationContext是BeanFactory的子接口.他们都可代表Spring容器,Spr ...
- 浅析Activity不可见与透明
http://blog.csdn.net/lincyang/article/details/6868582 看见标题也许你会有疑问,不可见和透明不是一个意思吗? 从字面上看,这还真是差不多.但在Act ...