deep learning recommender system

that the accuracy rate of YOLO in detecting small targets is about 8~10% than R-CNN, and the accuracy rate is higher than r-cnn in the detection of large targets. The accuracy of Fast-r-cnn+yolo is the highest, and the accuracy rate is 2.3% higher than that of FAST-R-CNN.5.4 SummaryYolo is a convolutional neural network that supports end-to-end training and testing, and can detect and recognize multiple targets in images under the premise of guaranteeing certain accuracy.6.SSD: SingleShot multi

Introduction to mxnet Deep Learning LibraryAbstract: Mxnet is a deep learning library that supports languages such as C + +, Python, R, Scala, Julia, Matlab, and JavaScript; Support command and symbol programming; Can run on CPU,GPU, clusters, servers, desktops or mobile devices. Mxnet is the cxxnet of the next generat

Preface : 工欲善其事, its prerequisite. Find deep learning data, found a python package:Theano. Then began to study, of course, the best information is the official website documents, did not find a better Chinese document, then recorded. Theano official website Tutorial. Deep learning tutorial:http://deeplearning.net/tutor

Transferred from: http://www.cnblogs.com/tornadomeet/archive/2013/03/22/2975978.html Author: tornadomeet Source: Http://www.cnblogs.com/tornadomeet In front of the logistic regression blog Deep Learning: Four (logistic regression exercise) , we know that the logistic regression is well suited for some non-linear classification problems, However, it is only suitable for dealing with the problem of two class

the load start-stop control of a large power grid is the control problem. The two also have infiltrated parts. The knowledge base can be used to control the intervention according to some artificial principles. The grid can also judge the critical time area, space area and so on according to the learning machine or through excavation, so as to make reasonable dispatch.Learning is the presentation of measurement results, and control is the interventio

Android Deep Explore ( vol. 1) HAL with Driver Development Learning notes (5)The fifth chapter builds the test environment of the development version of s3c64101. s3c6410 Processor Overview The s3c6410 is a 16/32 -bit RISC microprocessor designed to provide a cost-effective, low-power, high-performance application processor solution, such as mobile phones and general applications. It provides optimized h/

Article title: a deep understanding of the Linux network file system. Linux is a technology channel of the IT lab in China. Includes basic categories such as desktop applications, Linux system management, kernel research, embedded systems, and open source. Author: Ma Luyao 　　 Network File System (NFS) is one of the eas

These two days have taken a lot of effort to carry a deep learning Python architecture, but Theano has limitations on Python and nunpy versions, so you can only use newer versions of Python and nunpy to make sure it's not obsolete. But the most recent version of Python and the latest edition of NumPy is a bit imperfect, a lot of installation steps to be completed in the command line, so it took me a lot of

. After having a deep understanding of the first and second models, it is much easier to learn other complicated models. This is an iterative method used in learning. In addition, the process of learning any design pattern should be specific-abstract-then specific. The meaning of this sentence is to first use a more specific example to help understand the design

Spring + SpringMVC + MyBatis deep learning and building (2) -- MyBatis original Dao development and mapper Agent Development, springmvcmybatis Reprinted please indicate the source: http://www.cnblogs.com/Joanna-Yan/p/6869133.html I have written Spring + SpringMVC + MyBatis for deep learning and building (I)-basic knowl

Install the deep learning framework TensorFlow in Ubuntu I recently learned about TensorFlow, a new open-source deep learning framework for Google. It was found that python 2.7.x is needed when installing it; I have been using CentOS for Linux before. While CentOS is not updated, the built-in Python is usually less tha

Reprint Please specify source: http://www.cnblogs.com/Joanna-Yan/p/6956206.htmlMentioned earlier: Spring+springmvc+mybatis deep learning and Building (vii)--mybatis delay loading1. What is a query cacheMyBatis provides query caching to mitigate database stress and improve database performance.MyBatis provides a first-level cache and a level two cache.The first-level cache is a cache at the sqlsession level.

System call: The user state process to the kernel, to implement the user-state process calls the hardware Device function or interrupt;Advantages: Making programming easier, freeing users from learning the low-level programming features of hardware devices, improving system-to-security, and enabling the kernel to check for correctness before satisfying requests;

-UML class diagrams are often used to describe the static structure between classes when describing the design mode. The purpose of this article is to allow the readers to understand the UML class diagrams and to figure out several relationships in the UML class diagrams. -In the subsequent design model learning process, only these two points are adequate. More advanced is beyond the scope of this article. Johnconnor design pattern note series direc