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Ubuntu manually compiled Openwrt (DreamBox): fornjit... ipk

://dev.openwrt.org.cn/wiki/branchstatThere are currently three branches, 1. Dreambox, based on openwrt 10.03.1, 2. SUN branch: The Branch optimized for the embedded platform of ARM architecture. It is created based on the Dreambox branch and maintained by Richard Nee. 3. pandorabox branch, based on OpenWrt 12.09. 1. Obtain the OpenWrt-Dreambox stable version:$ Sv

Ubuntu manually compiled Openwrt (DreamBox): for njit... ipk

Compiling environment: Ubuntu 10.04 Ubuntu 12.04 (various problems, but compile the ipk I want) Reference: http://www.openwrt.org.cn/bbs/forum.php? Mod = viewthread tid = 4217 (but changed) 1. apt-get install updateApt-get install git-coreApt-get install g ++Apt-get install libncurses5-devApt-get install zlib1g-devApt-get install bisonApt-get install flexApt-get install unzipApt-get install autoconfApt-get install gawkApt-get install makeApt-get install gettextApt-get install gccApt-get install

DreamBox DM500 (+) Arbitrary File Download Vulnerability and repair

DreamBox is a linux-driven series of DVB satellites, ground and Cable Digital TV receivers (set-top boxes ). DreamBox has the Arbitrary File Download Vulnerability, which may cause leakage of sensitive information. [+] Info:~~~~~~~~~DreamBox DM500 (+) Arbitrary File Download Vulnerability [+] Poc:~~~~~~~~~Http: // 2f .. % 2f .. % 2f .. % 2f .. %

Openwrt-dreambox 20120201 configuration USB Drive Boot

mount# option Target/home This line should not matter, I generally remove or add a "#" in frontOption DEVICE/DEV/SDA1Option Fstype ext3Option Options Rw,syncoption enabled 1Option Is_rootfs 1Config swapOption Device/dev/sda2Option enabled 0The red font is a modified or added content.Add the logo to identify whether to boot from the USB stick;Vi/mnt/etc/bannerAdded on last line: Boot from UpanAfter starting again, the effect is as follows:Connecting to ...Connection established.To

Stanford University public Class machine learning: Advice for applying machines learning | Learning curves (Improved learning algorithm: the relationship between high and high variance and learning curve)

Drawing a learning curve is useful, for example, if you want to check your learning algorithm and run normally. Or you want to improve the performance or effect of the algorithm. Then the learning curve is a good tool. The learning curve can judge a learning algorithm, which

Two methods of machine learning--supervised learning and unsupervised learning (popular understanding) _ Machine Learning

Objective Machine learning is divided into: supervised learning, unsupervised learning, semi-supervised learning (can also be used Hinton said reinforcement learning) and so on. Here, the main understanding of supervision and unsupervised

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; probe into depth learning) __ Machine learning

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1:define A set of function Step 2:goodness of function Step 3:pick the best function X_t

Machine Learning--unsupervised Learning (non-supervised learning of machines learning)

Earlier, we mentioned supervised learning, which corresponds to non-supervised learning in machine learning. The problem with unsupervised learning is that in untagged data, you try to find a hidden structure. Because the examples provided to learners arenot marked, so there is no error or reward signal to evaluate the

Intensive learning and learning notes--Introducing intensive learning (reinforcement learning)

As we all know, when Alphago defeated the world go champion Li Shishi, the whole industry is excited, more and more scholars realize that reinforcement learning is a very exciting in the field of artificial intelligence. Here I will share my intensive learning and learning notes. The basic concept of reinforcement learning

Learning Rate: The effect of learning rate from gradient learning algorithm--how to adjust the learning rate

In machine learning, supervised learning (supervised learning) by defining a model and estimating the optimal parameters based on the data on the training set. The gradient descent method (Gradient descent) is a parametric optimization algorithm widely used to minimize model errors. The gradient descent method uses multiple iterations and minimizes the cost funct

Deep Learning (Deep Learning) Learning notes and Finishing _

Deep Learning notes finishing (very good) Http://www.sigvc.org/bbs/thread-2187-1-3.html Affirmation: This article is not the author original, reproduced from: http://www.sigvc.org/bbs/thread-2187-1-3.html 4.2, the primary (shallow layer) feature representation Since the pixel-level feature indicates that the method has no effect, then what kind of representation is useful. Around 1995, Bruno Olshausen and David Field two scholars, Cornell Unive

Stanford University public Class machine learning: Machines Learning System Design | Data for machine learning (the learning algorithm behaves better when the volume is large)

For the performance of four different algorithms in different size data, it can be seen that with the increase of data volume, the performance of the algorithm tends to be close. That is, no matter how bad the algorithm, the amount of data is very large, the algorithm can perform well.When the amount of data is large, the learning algorithm behaves better:Using a larger set of training (which means that it is impossible to fit), the variance will be l

How to differentiate between supervised learning (supervised learning) and unsupervised learning (unsupervised learning)

supervised learning : In short, given a certain training sample (it is important to note that the sample is both data and data corresponding to the results), using this sample training to get a model (can be said to be a function), and then use this model to map all the input to the corresponding output, The output is then simply judged so that the problem of classification (or regression) is achieved. Simply make a distinction, the classification is

Deep Learning (depth learning) Learning Notes finishing Series (iii)

Transferred from: http://blog.csdn.net/zouxy09/article/details/8775518 Well, to this step, finally can talk to deep learning. Above we talk about why there are deep learning (let the machine automatically learn good features, and eliminate the manual selection process. As well as a hierarchical visual processing system for reference people, we get a conclusion that deep

Machine Learning deep learning natural Language processing learning

Original address: http://www.cnblogs.com/cyruszhu/p/5496913.htmlDo not use for commercial use without permission! For related requests, please contact the author: [Email protected]Reproduced please attach the original link, thank you.1 BasicsL Andrew NG's machine learning video.Connection: homepage, material.L 2.2008-year Andrew Ng CS229 machine LearningOf course, the basic method does not change much, so the courseware PDF downloadable is the advanta

"Learning record" on the Internet learning Skills exercises and learning notes and learning experiences of makefile (VS2010)

I don't know. As a complete Windows platform under the less professional software engineering students, see the "Accelerated C + +" source code, the first reaction is: Oh! I should use make to generate project files. Then I happily use AOL to start searching for relevant information.And then the egg! I must have been possessed by some strange creature. I should import files directly with VS Create Project. Then ... ctrl+f5. How perfect.But...... Following:"Tutorial" from the cloud-wind Big blog

Classification of machine learning algorithms based on "machine Learning Basics"--on how to choose machine learning algorithms and applicable solutions

IntroductionThe systematic learning machine learning course has benefited me a lot, and I think it is necessary to understand some basic problems, such as the category of machine learning algorithms.Why do you say that? I admit that, as a beginner, may not be in the early stage of a learning object has a comprehensive

Deep Learning (depth learning) Learning Notes finishing Series (i)

Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a collection of information from the online very big Daniel and the machine

PHP learning, 2016-5-10 2016 party members learning experience 20,162 will be spiritual learning 20,162 will be spiritual learning heart

URL can be used as the file name. For more information on how to specify filenames see fopen (). Different features of various wapper see supported protocols and encapsulation protocols, and note their usage and the predefined variables available. URL meaning is not can choose a non-GD2 format picture, but I tried not '). addclass (' pre-numbering '). Hide (); $ (this). addclass (' has-numbering '). Parent (). append ($numbering); for (i = 1; i '). Text (i)); }; $numberi

Stanford Machine Learning---The sixth week. Design of learning curve and machine learning system

sixth week. Design of learning curve and machine learning system Learning Curve and machine learning System Design Key Words Learning curve, deviation variance diagnosis method, error analysis, numerical evaluation of machine learning

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