deep learning atari

1, first install some of the compilation tools# Install the build tool sudo apt-get install build-essential# installation Dependency package sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev Libavformat-dev libswscale-dev# Install optional package sudo apt-get install Python-dev python-numpy libtbb2 Libtbb-dev Libjpeg-dev Libpng-dev Libtiff-dev Libjasper-dev Libdc1394-22-dev2. Download OpenCVHttps://github.com/opencv/opencv/archive/3.4.0.zip3. Compile and install# Open folde

for waiting The term waits timed waiting Blocking blocked End terminated How to implement thread safety Mutex synchronization (blocking synchronization): Mutual exclusion is the cause, synchronization is the fruit; mutual exclusion is the method, synchronization is the purposeJava.util.concurrent.ReentranLock, there are some advanced features added to the Synchron: Waiting can be interrupted, a fair lock can be achieved, and a lock may bind multiple conditions; Non

with model parametersIn the custom layer we can also use the Block's own parameterdict type member variable params. As the name implies, this is a dictionary of model parameters that are mapped to the Parameter type by the parameter name of the string type. We can create Parameter from parameterdict through the Get function.params = gluon.ParameterDict()params.get('param2', shape=(2, 3))params# ouput( Parameter param2 (shape=(2, 3), dtype=Now let's look at how to implement a full-join layer wi

first, and the instance is the object.The second Kindvar clock = new Object (); clock.hour=12; clock.minute=10; Clock.showhour=function () {alert (clock.hour);}; Clock.showhour ();//CallThis is better understood by first creating an instance of object and then adding properties and methods to the instance.So create the type first, and the instance is the object.Third Kindfunction Clock (hour,minute,second) { this.hour = hour; This.minute = minute; This.second = second; This.showtime = funct

Python modules and packages are simply equivalent to namespaces.1,python module A python module is a file with functions, variables, etc.Import ModuleModules-MethodsFrom module Import functionFrom module Import *__name__ = = ' __main__ ' is the decision to run the module yourself or be called to executeIf __name__== ' __main__ ':Print (' Login main program run ')ElsePrint (' login is running line ')2,python BagThe collection of modules and the __init__.py file compositionFrom package. Module Imp

Test Code @Test public void Finduserlisttest () throws exception{ sqlsession sqlsession=sqlsessionfactory.opensession ( ); Usermapper Usermapper=sqlsession.getmapper (usermapper.class); Create wrapper object, set query condition userqueryvo userqueryvo=new userqueryvo (); Usercustom usercustom=new Usercustom (); Since dynamic SQL is used here, if you do not set a value, the condition will not be stitched together in SQL // Usercustom.se

("54a530c3ff0df3732bac167f"), "id": 0, "Name": "Joe", "Age": $ >2. Modify the inline document>db.post.findone ({"id": 0}) { "_id" :objectid ("54a530c3ff0df3732bac167f"), "id" :0, "name" : "Joe", "Age" :65, " Comments ":{ "1" :1, "2" :2, "3" NBSP;: 3}}> Db.post.update ({"id": 0},{$set: {"Comments.1": 4}) writeresult ({ "nmatched" :1, "nupserted" :0, "nmodified" NBSP;:NBSP;1NBSP;}) >db.post.findone ({"id": 0}) { "_id" :objectid ("54a530c3ff0df3732bac167f"), "id" :0, "name" : "Joe", "A

21. Application of Depth neural network in visual significance (visual Attention with deep neural Networks) (English, conference papers, 2015, IEEE Search)This article focuses on the application of CNN in the field of significance detection.　　22. Progress in deep learning Research (Chinese, Journal, 2015, net)A summary article on

The recent deep learning fire not only attracted the attention of the academic community, but also sought after in the industry. In many important evaluations, DL has achieved the effect of state of the art. Especially in terms of speech recognition, DL has reduced the error rate by about 30% and has made significant progress. If the company that uses speech recognition does not use DL, I am sorry to say he

A summaryIn this paper, we present a very simple image classification deep learning framework, which relies on several basic data processing methods: 1) Cascade principal component Analysis (PCA), 2) Two value hash coding, 3) chunking histogram. In the proposed framework, the multi-layer filter kernel is first studied by PCA method, and then sampled and encoded using two-valued hash coding and block histogr

Transferred from: http://baojie.org/blog/2013/01/27/deep-learning-tutorials/A few good deep learning tutorials, with basic videos and speeches. Two articles and a comic book are attached. There are some additions later.Jeff Dean @ StanfordHttp://i.stanford.edu/infoseminar/dean.pdfAn introductory introduction to what DL

Deep learning with STRUCTURECharlie Tang is a PhD student in the machine learning group at the University of Toronto, working with Geoffrey Hinton andRuslan Salakhutdinov, whose the interests include machine learning, computer vision and cognitive science. More specifically, he had developed various higher-order extens

training, scale presents a problem for deep learning. The need to fully interconnect neurons, particularly in the upper layers, requires immense compute power. The first layer for an image-processing application could need to analyze a million pixels. The number of connections in the multiple layers of a deep network would be the orders of magnitude greater. "Th

Recommended 10 open-source deep learning frameworks on GitHubRecently, Google Open source TensorFlow (GitHub), the move in the field of deep learning impact, because Google in the field of artificial intelligence research achievements, has a strong talent pool, and Google's own Gmail and search engines are using a self

The article was transferred from the deep learning public numberDeep learning is a new field in machine learning that is motivated by the establishment and simulation of a neural network for analytical learning of the human brain, which mimics the mechanisms of the human bra

1. Current situation:Deep learning is now very hot, and all kinds of meetings have to be stained with this point. Baidu Brain, Google's brain plan to engage in this. In some areas have achieved very good results, chip recognition, speech recognition, in the security field and even the identification of encryption protocols. The accuracy of the lab in the field of speech is over 90%.2. The essence of deep le

Mobileye and Nvidia use a convnet based approach in their upcoming automotive Vision systems. Other increasingly important applications relate to natural language understanding and speech recognition. Despite these achievements, Convnets was largely abandoned by the mainstream computer vision and machine learning community until the Imagenet race in 2012. When the deep convolution network was applied to da

Original link: https://www.paypal-engineering.com/tag/data-science/absrtact: with the explosive growth of data and thousands of machine clusters, we need to adapt the algorithm to run in such a distributed environment. Running machine learning algorithms in a common distributed computing environment has a number of challenges. This article explores how to implement and deploy deep

The history of CNNIn a review of the 2006 Hinton their science Paper, it was mentioned that the 2006, although the concept of deep learning was proposed, but the academic community is still not satisfied. At that time, there was a story of Hinton students on the stage when the paper, machine learning under the Taiwan Daniel Disdain, questioned your things have a

Time of instruction:This course will begin on April 1. The duration of the course is approximately 14 weeks. Subject:People who are interested in deep learning AI, who want to learn about deep learning practices. learners need a little bit of the basics of Python development and de