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CSB NN slides 100%

Using a neural network on ”Coders Strike Back” By bleuj Introduction Using a neural network on ”Coders Strike Back” What we try to achieve here Machine learning problem Main parts of the work because why not Gathering data from a good bot By bleuj 16 June 2016 Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on CodinGame Importing the neural network on CodinGame Checking the result Contents Introduction What we try to achieve here Machine learning problem Main parts of the work Gathering data from a good bot Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on CodinGame Importing the neural network on CodinGame Checking the result Using a neural network on ”Coders Strike Back” By bleuj Introduction What we try to achieve here Machine learning problem Main parts of the work Gathering data from a good bot Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on CodinGame Importing the neural network on CodinGame Checking the result Contents Introduction What we try to achieve here Machine learning problem Main parts of the work Gathering data from a good bot Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on CodinGame Importing the neural network on CodinGame Checking the result Using a neural network on ”Coders Strike Back” By bleuj Introduction What we try to achieve here Machine learning problem Main parts of the work Gathering data from a good bot Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on CodinGame Importing the neural network on CodinGame Checking the result What we try to achieve here A light decent runner..

https://www.pdf-archive.com/2016/06/16/csb-nn-slides/

16/06/2016 www.pdf-archive.com

ResearchPaper 93%

Learning Ticket Similarity with Context-sensitive Deep Neural Networks Iheb Ben Abdallah Durga Prasad Muni, Suman Roy, Yeung Tack Yan John John Lew Chiang, Navin Budhiraja Computer Science and Electrical Engineering, Ecole CentraleSupelec Grande Voie des Vignes, Chˆatenay-Malabry Paris, France 92290 Iheb.Benabdallah@supelec.fr Infosys Limited #44 Electronic City, Hosur Road Bangalore, India 560100 {DurgaPrasad Muni,Suman Roy,Yeung Chiang,Navin.

https://www.pdf-archive.com/2017/10/11/researchpaper/

11/10/2017 www.pdf-archive.com

OEM Summer2012Poster2 93%

Krešimir Josi , University of Houston Introduction Optimization problems in neural network models frequently appear in the theoretical neuroscience literature for a variety of purposes, such as putting upper bounds on network performance1, formulating general principles of network organization3,6, and even predicting how encoding strategies vary with changing stimulus statistics1.

https://www.pdf-archive.com/2015/11/25/oem-summer2012poster2/

25/11/2015 www.pdf-archive.com

北大CV April 15, 2007 89%

Estimation of Neural Network Models Dissertation Advisor:

https://www.pdf-archive.com/2018/04/24/cv-april-15-2007/

24/04/2018 www.pdf-archive.com

fake-news-detection-final 89%

A convolutional neural network (CNN) is used by [Wang 2017] for capturing deceptive styles in the fake news.

https://www.pdf-archive.com/2018/01/06/fake-news-detection-final/

06/01/2018 www.pdf-archive.com

Artificial neural networks in petroleum engineering 89%

Petroleum University of Technology Abadan Faculty of Petroleum Engineering (Shahid Tondgooyan) Department of Petroleum Exploration Engineering Prediction of Crude Oils PVT Properties Using Artificial Neural Networks Master of Science Thesis By:

https://www.pdf-archive.com/2015/07/28/artificial-neural-networks-in-petroleum-engineering/

28/07/2015 www.pdf-archive.com

Final Image Based Report Mbuvha Wang 2016 88%

Convolutional Neural Networks for Distracted Driver Detection 000 001 002 000 001 002 003 003 004 Rendani Mbuvha, Huijie Wang 004 005 005 KTH Royal Institue of Technology 006 006 007 007 008 008 009 Abstract.

https://www.pdf-archive.com/2016/06/12/final-image-based-report-mbuvha-wang-2016/

12/06/2016 www.pdf-archive.com

Post doc Position Baffet Lab Neural Stem cells 85%

Postdoc position to study mouse neural stem cells Baffet lab, Institut Curie, Paris Our lab focuses on the mechanisms governing neocortex development, with a strong interest on the role and regulation of the neural stem cells.

https://www.pdf-archive.com/2016/02/19/post-doc-position-baffet-lab-neural-stem-cells/

19/02/2016 www.pdf-archive.com

OtmaneElrhaziPatterns 85%

Otmane El Rhazi Mathematics London, UK Pattern Recognition with Neural Networks Introduction What is a pattern?

https://www.pdf-archive.com/2014/05/18/otmaneelrhazipatterns/

18/05/2014 www.pdf-archive.com

Progressive Report 85%

These methods are Restricted Boltzmann Machine and Convolutional Neural Network.

https://www.pdf-archive.com/2017/04/19/progressive-report/

19/04/2017 www.pdf-archive.com

DeepLearningforRegression 85%

I’ve gotten quite a few requests recently for (a) examples using neural networks for regression rather than classification, and (b) examples using time series.

https://www.pdf-archive.com/2016/09/28/deeplearningforregression/

28/09/2016 www.pdf-archive.com

CambridgeDeclarationOnConsciousness 83%

 The neural substrates of emotions do not appear to be confined to cortical structures.

https://www.pdf-archive.com/2018/03/14/cambridgedeclarationonconsciousness/

14/03/2018 www.pdf-archive.com

04 8Oct15 548 554-940-1-RV 82%

10.11591/eei.v5i1.xxxx  25 New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks 1 Hossein Rahimi Khoei*1, Mahdi Zolfaghari2 Faculty of Electrical Engineering, Technical and Professional University Shahrekord, Shahrekord, Iran 2 Tehran polytechnic, Tehran, Iran *Corresponding author, e-mail:

https://www.pdf-archive.com/2016/09/25/04-8oct15-548-554-940-1-rv/

25/09/2016 www.pdf-archive.com

Rapport Data Camp 82%

4 Convolution Neural Network 4.1 Architecture .

https://www.pdf-archive.com/2018/03/26/rapport-data-camp/

26/03/2018 www.pdf-archive.com

PosterSessionProgram 81%

Music Recurrent Neural Networks with Attention for Genre Classification and Music Compositon Elliott Chartock, Jeremy Irvin, Nadav Hollander 123 Audio &

https://www.pdf-archive.com/2016/12/13/postersessionprogram/

13/12/2016 www.pdf-archive.com

m140007 79%

Biojournal of Science and Technology Research Article A multi-objective objective evolutionary approach to reconstruct gene regulatory network using recurrent neural network model Sumon Ahmed1*, Md.

https://www.pdf-archive.com/2015/07/27/m140007/

27/07/2015 www.pdf-archive.com

Deep Learning 79%

275 Optimization raining Deep Models 8.2 Challengesfor in T Neural Netw Network ork Optimization .

https://www.pdf-archive.com/2016/04/07/deep-learning/

07/04/2016 www.pdf-archive.com

Note Sep 5%2c 2017 4 11 59 PM 76%

Neuronal connection pruning for eﬃciency) • Happens at all stages of life • Development is contextual ◦Not always uniform ◦Other factors impact development ◦Environment is ever changing ◦Cultural, historical, social influences (war, etc) • Development has plasticity ◦Changes in neural connections ◦Always potential for change (new learning, adaptation) • Why study development?

https://www.pdf-archive.com/2017/11/21/note-sep-5-2c-2017-4-11-59-pm/

21/11/2017 www.pdf-archive.com

social wanting dysfunction autism asd 76%

With reference to this model, we summarize what is currently known concerning the neural correlates underlying reward responsiveness in ASD, with a special emphasis on social reward versus other reward types.

https://www.pdf-archive.com/2017/10/17/social-wanting-dysfunction-autism-asd/

17/10/2017 www.pdf-archive.com

brochure 74%

The development of neural networks has been key to teaching computers to think and understand the world in the way we do, while retaining the innate advantages they hold over us such as speed, accuracy and lack of bias.

https://www.pdf-archive.com/2018/03/23/brochure/

23/03/2018 www.pdf-archive.com

Sub-Optimal as Optimal 74%

They have extended—to a precarious height—a theory of perceptual processing that was initially developed for machinelearning.2 Regarding neural instantiation, we have only inconclusive indirect evidence.

https://www.pdf-archive.com/2016/09/15/sub-optimal-as-optimal/

15/09/2016 www.pdf-archive.com

Vendor Maps 74%

17 RD Legal Funding, LLC 35 Neural IT LLC 53 Mass Tort Nexus/Law Firm Services 18 Case Funding 36 Physician Life Care Planning 54 Schmidt National Law Group 42 The Garden City Group, LLC.

https://www.pdf-archive.com/2015/04/13/vendor-maps/

13/04/2015 www.pdf-archive.com

FirstInningsPredictions 74%

Mean Error 60 40 20 0 20 40 Neural Network DLS 60 10 20 30 40 Over Prediction is Made 50 Mean Error Neural Network DLS 40 20 0 20 40 0 5 10 15 Over Prediction is Made 20

https://www.pdf-archive.com/2016/10/29/firstinningspredictions/

29/10/2016 www.pdf-archive.com

RESUME 74%

2013 – May 2017 COURSEWORK Intro to Machine Learning, Neural Computation, Probability and Random Processes, Optimization Models, Signals and Systems, Computational Photography, Operating Systems, Relativity and Quantum Physics WORK EXPERIENCE Microsoft Corporation Summer 2016 Software Engineer Intern  Designed and implemented new framework for Microsoft Azure that focuses on engineering principles and reliability in Python and C++  Developed skills in computer networking and operating systems  Was among a select few interns invited to pitch project to the CTO and CVP of Microsoft Azure Undergraduate Computer Vision Researcher Jan.

https://www.pdf-archive.com/2016/12/10/resume/

10/12/2016 www.pdf-archive.com

Basic Neural Network 74%

Basic Neural Network Devlin Wyatt Goal:

https://www.pdf-archive.com/2017/02/16/basic-neural-network/

16/02/2017 www.pdf-archive.com

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