The AlphaGo Replication Wiki 摘自:https://github.com/Rochester-NRT/RocAlphaGo/wiki/01.-Home Contents :  Home 01. Home 02. Code 03. Data 04. Neural Networks and Training 05. Supervised Policy Network (Phase I) 06. Reinforcement Policy Network (Phase II)…

@theboysmithy did a great piece on coming up with an alternate view for a timeline for an FT piece. Here’s an excerpt (read the whole piece, though, it’s worth it): Here is an example from a story recently featured in the FT: emerging- market populat…

背景 [作者:DeepLearningStack,阿里巴巴算法工程师,开源TensorFlow Contributor] 在分布式训练时,提高计算通信占比是提高计算加速比的有效手段,当网络通信优化到一定程度时,只有通过增加每个worker上的batch size来提升计算量,进而提高计算通信占比.然而一直以来Deep Learning模型在训练时对Batch Size的选择都是异常敏感的,通常的经验是Large Batch Size会使收敛性变差,而相对小一点的Batch Size才能收敛的更好…

Python Tools for Machine Learning Python is one of the best programming languages out there, with an extensive coverage in scientific computing: computer vision, artificial intelligence, mathematics, astronomy to name a few. Unsurprisingly, this hold…

3.The significance of Books 书本的意义 (1)A bookless life is an imcomplete life.Books influence the depth and breadth of life.They meet the natural desire for freedom,for expression,for creativity and beauty of life.Learners,therefore,must have books,and…

ImageNet Classification with Deep Convolutional Neural Networks 深度卷积神经网络的ImageNet分类 Alex Krizhevsky University of Toronto 多伦多大学 kriz@cs.utoronto.ca Ilya Sutskever University of Toronto 多伦多大学 ilya@cs.utoronto.ca Geoffrey E. Hinton University of Toront…

Gartner 2018 年WAF魔力象限报告:云WAF持续增长,Bot管理与API安全拥有未来 来源 https://www.freebuf.com/articles/paper/184903.html AngelaY  2018-09-19  *AngelaY 编译整理,转载请注明来自 FreeBuf.COM 8 月 29 日,Gartner 发布 2018 年度 Web 应用防火墙(WAF)魔力象限,这是 Gartner 自 2014 年之后连续第五年发布此类报告.报告中照例描述了全球 W…

Recommended Books Here is a list of books which I have read and feel it is worth recommending to friends who are interested in computer science. Machine Learning Pattern Recognition and Machine Learning Christopher M. Bishop A new treatment of classi…

SMP Primer for Android 1.In this document Theory Memory consistency models Processor consistency CPU cache behavior Observability ARM’s weak ordering Data memory barriers Store/store and load/load Load/store and store/load Barrier instructions Addres…

ImageNet Classification with Deep Convolutional Neural Network 利用深度卷积神经网络进行ImageNet分类 Abstract We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 d…