Hack Like It's 2013 (The Workshop)

This document provides an overview of deep learning, machine learning, and artificial intelligence. It discusses the differences between traditional AI, machine learning, and deep learning. Key deep learning concepts covered include neural networks, activation functions, cost functions, gradient descent, backpropagation, and hyperparameters. Convolutional neural networks and their applications are explained. Recurrent neural networks are also introduced. The document discusses TypeScript and how it can be used for deep learning applications.

This is presentation for Natural Language Processing open seminar in Kookmin University. The open seminar reference : https://cafe.naver.com/nlpk My presentation about how to use tensorflow for NLP open seminar for newbies for tensorflow.

This presentation focuses on Deep Learning (DL) concepts, such as neural neworks, backprop, activation functions, and Convolutional Neural Networks, with a short introduction to D3, and followed by a TypeScript-based code sample that replicates the TensorFlow playground. Basic knowledge of matrices is helpful.

The document discusses attention mechanisms and their implementation in TensorFlow. It begins with an overview of attention mechanisms and their use in neural machine translation. It then reviews the code implementation of an attention mechanism for neural machine translation from English to French using TensorFlow. Finally, it briefly discusses pointer networks, an attention mechanism variant, and code implementation of pointer networks for solving sorting problems.

In this talk at AI Frontiers Conference, Rajat Monga shares about TensorFlow that has enabled cutting-edge machine learning research at the top AI labs in the world. At the same time it has made the technology accessible to a large audience leading to some amazing uses. TensorFlow is used for classification, recommendation, text parsing, sentiment analysis and more. This talk goes over the design that makes it fast, flexible, and easy to use, and describe how we continue to make it better.

1. The elements of Neural Networks: Weights, Biases, and Gating functions 2. MNIST (Hand writing recognition) using simple NN in TensorFlow (Introduce Tensors, Computation Graphs) 3. MNIST using Convolution NN in TensorFlow 4. Understanding words and sentences as Vectors 5. word2vec in TensorFlow

This is the DeepStochLog presentation, published at AAAI22 (Association for the Advancement of Artificial Intelligence 2022). Authors: Thomas Winters*, Giuseppe Marra*, Robin Manhaeve, Luc De Raedt *equal contribution Code: https://github.com/ml-kuleuven/deepstochlog Abstract: Recent advances in neural symbolic learning, such as DeepProbLog, extend probabilistic logic programs with neural predicates. Like graphical models, these probabilistic logic programs define a probability distribution over possible worlds, for which inference is computationally hard. We propose DeepStochLog, an alternative neural symbolic framework based on stochastic definite clause grammars, a type of stochastic logic program, which defines a probability distribution over possible derivations. More specifically, we introduce neural grammar rules into stochastic definite clause grammars to create a framework that can be trained end-to-end. We show that inference and learning in neural stochastic logic programming scale much better than for neural probabilistic logic programs. Furthermore, the experimental evaluation shows that DeepStochLog achieves state-of-the-art results on challenging neural symbolic learning tasks.

This document provides an overview of Network Simulator 2 (NS-2) and how to use it to simulate computer networks. It discusses: - The basic design of NS-2, which uses Tcl for scripting and C++ for implementing network objects. Simulation scripts are written in OTcl to set up the network topology and control packet transmissions. - Common tasks in NS-2 like creating nodes and links, defining traffic sources and sinks, generating traffic patterns, and outputting trace files. - Example scripts that demonstrate how to initialize a simulation, generate network traffic with different protocols (UDP, TCP), and visualize results using the Network Animator (NAM) tool. - Key aspects of

The document discusses a TensorFlow session that merges summary data and runs an agenda. Key topics from the document include TensorFlow sessions, summary data, and running agendas.

TensorFlow's eager execution allows running operations immediately without building graphs. This makes debugging easier and improves the development workflow. Eager execution can be enabled with tf.enable_eager_execution(). Common operations like variables, gradients, control flow work the same in eager and graph modes. Code written with eager execution in mind is compatible with graph-based execution for deployment. Eager execution provides benefits for iteration and is useful alongside TensorFlow's high-level APIs.

A presentation by Alec Radford, Head of Research at indico Data Solutions, on deep learning with Python's Theano library. The emphasis of the presentation is high performance computing, natural language processing (using recurrent neural nets), and large scale learning with GPUs. Video of the talk available here: https://www.youtube.com/watch?v=S75EdAcXHKk

Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Caffe’s expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices.Caffe’s extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models.Speed makes Caffe perfect for research experiments and industry deployment. Caffe can processover 60M images per day with a single NVIDIA K40 GPU*. That’s 1 ms/image for inference and 4 ms/image for learning. We believe that Caffe is the fastest convnet implementation available.Caffe already powers academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Join our community of brewers on the caffe-users group and Github. This tutorial is designed to equip researchers and developers with the tools and know-how needed to incorporate deep learning into their work. Both the ideas and implementation of state-of-the-art deep learning models will be presented. While deep learning and deep features have recently achieved strong results in many tasks, a common framework and shared models are needed to advance further research and applications and reduce the barrier to entry. To this end we present the Caffe framework, public reference models, and working examples for deep learning. Join our tour from the 1989 LeNet for digit recognition to today’s top ILSVRC14 vision models. Follow along with do-it-yourself code notebooks. While focusing on vision, general techniques are covered.

Slides presented at PyCon JP 2016. 「確率的ニューラルネットの学習と Chainer による実装」というタイトルで PyCon JP 2016 で講演したときのスライドです。

This presentation contains a quick tour in Python world. First by By comparing Java code, and the equivalent Python side by side, Second by listing some cool features in Python, finally by listing downs and ups of Python in usage; when to use python and when not.

Theano is a Python library that allows defining, optimizing, and evaluating mathematical expressions involving multi-dimensional arrays efficiently. It can compile expressions into optimized C code for fast CPU and GPU execution. Theano uses symbolic differentiation to automatically compute gradients for neural network training via backpropagation. It represents computations as a graph with variable nodes and operation nodes. This graph can be optimized before generating efficient C code. Theano is useful for machine learning algorithms that require large-scale numeric optimization like neural networks. The document discusses implementing word embedding models in Theano including autoencoder, GloVe, and skip-gram negative sampling models. Code examples are provided in GitHub links.

Intro to Python for High School Students. Unit #2: classes, as well as docstrings, lambda, map, filter, logging, testing, debugging Does not include GUI content

The document provides information on Caffe layers and networks for image classification tasks. It describes common layers used in convolutional neural networks (CNNs) like Convolution, Pooling, ReLU and InnerProduct. It also discusses popular CNN architectures for datasets such as MNIST, CIFAR-10 and ImageNet and the steps to prepare the data and train these networks in Caffe. Experiments comparing different CNN configurations on a 4-class image dataset show that removal of layers degrades performance, indicating their importance.

In this session, we will reveal and demonstrate perfect exfiltration via indirect covert channels (i.e. the communicating parties don’t directly exchange network packets). This is a family of techniques to exfiltrate data (low throughput) from an enterprise in a manner indistinguishable from genuine traffic. Using HTTP and exploiting a byproduct of how some websites choose to cache their pages, we will demonstrate how data can be leaked without raising any suspicion. These techniques are designed to overcome even perfect knowledge and analysis of the enterprise network traffic.

Selex ES provides electronic warfare solutions to help avoid, evade, and counter threats. They offer a range of EW systems including ESM, RWR, DIRCM, decoys, and integration solutions. As threats evolve rapidly, Selex ES invests heavily in R&D to continuously develop next-generation EW capabilities, such as an advanced RF decoy with off-board jamming and rapid response capabilities. Selex ES positions itself as a full-spectrum EW partner able to manage risks and enable sovereign EW capabilities for its customers.

This document provides guidance and sample answers for common interview questions for a position at Lockheed Martin. It discusses how to answer questions about strengths, why the applicant wants to work at Lockheed Martin and aligns with the company values, what they know about the company from research, why Lockheed Martin should hire them and how they can contribute, what salary they need, and questions to ask the interviewer. The document also provides additional interview tips and links to resources on interview preparation.

Brief Summary Cyber warfare and electronic warfare are similar in many ways. Electronic warfare is a general tool used to Deny, Disrupt, Destroy, Degrade, and Deceive which are largely achieved through the interactions with enemy’s radio frequency systems. Cyber warfare is similar and more with additional targeted effects on computer systems, networks, and applications. Information operations, however, intend to influence the person sitting behind the keyboard, resulting to wrong decision making. Col Timothy Presby, Training and Doctrine Command Capabilities Manager of Cyber, Army said in August this year: “We need to be aware that we are very likely going to fight an adversary that is converging using [cyber and electromagnetic activity] integration, ISR and fires across full spectrum conflict, so unless we actually work together and converge our capabilities, we will be left short.”. This shows the importance of being aware and protected in the joint space. This paper attempts to discuss the significance, seriousness and real threat in the cyber and electronics intelligence joint space. Critical military information can be obtained via cyber means and use by the forces to launch attacks in shortest possible time to cause severe damages to properties and lives.

PPT for SYBMS Stategic Management Project Hope it comes of use to anyone who needs it. Contents: History Vision, Mission Statement SWOT Analysis PEST Analysis Conclusion

EHF refers to Extra High Frequency and UV refers to Ultraviolet Light. Mobile Radio Wireless LAN systems operate at EHF frequencies, which have wavelengths smaller than those of microwaves allowing them to carry more information. These systems can provide connectivity for mobile devices using EHF signals and avoid interference from other radio systems.

This document discusses electronic warfare and is divided into three main sections: electronic attack, electronic protection, and electronic warfare support. Electronic attack involves jamming, deception, and destructive techniques to interfere with an enemy's use of the electromagnetic spectrum. Electronic protection techniques are used to protect friendly forces from electronic attack. Electronic warfare support passively detects and analyzes emissions to gather intelligence and provide situational awareness. Specific electronic warfare systems and techniques discussed include jamming, chaff, flares, anti-radiation missiles, frequency hopping, and ELINT/COMINT collection.

This document provides an introduction to electronic warfare analyses. It discusses definitions of ELINT and EW terminology. It also covers topics like ELINT collection cycles, RF receiver characteristics, direction finding analysis, scan pattern analysis, and PRI analysis. The document puts these concepts together using examples of ESM concepts of operations and potential future ELINT threats that use techniques like LPI, frequency hopping, and spread spectrum.

This document discusses techniques for measuring pulsed RF signals used in radar and electronic warfare applications. It begins with an overview of common radar applications and measurement types. It then discusses tools for measuring pulse parameters like pulse width, repetition interval, and power. These tools include power meters, oscilloscopes, spectrum analyzers, and specialized pulse analyzers. It also covers vector signal analysis and its ability to analyze modulation embedded on pulses. The rest of the document provides examples of measuring pulses with these various tools and techniques like pulse building, frequency hopping analysis, and analyzing LFM chirps.

Tutorial Content This tutorial provides a broad-based discussion of radar system, covering the following topics: -Introduction to Radars in Military and Commercial Applications -Radar System Block Diagram -Radar Antennas (slotted waveguide array, planar array), Transmitter (magnetron, solid-state), Receiver, Pedestal and Radome -Plot Extraction, Tracking Algorithms and Display -Radar Range Equation, Detection Performance -Wave Propagation and Radar Cross Section -Emerging and Advanced Radar Systems (phased-array, multi-beam, multi-mode, FMCW, solid-state) In the discussion, practical systems, technical specifications and data will be used to enhance learning.In addition, simulation results will also be used to present findings. The objective of the tutorial session is to equip participants with solid understanding of radar systems for system level applications and prepare them for advanced and professional radar courses, projects and research. This tutorial is designed and developed based on the following references: [1] G. W. Stimson, Introduction to Airborne Radar Second Edition, Scitech Publishing, 1998. [2] L. V. Blake, A Guide to Basic Pulse-Radar Maximum-Range Calculation, NRL Report 6930, 1969. [3] K. H. Lee, Radar Systems for Nanyang Technological University, TBSS, 2014.

The document provides an agenda for a seminar on electronic warfare for the Republic of Singapore Air Force. The seminar will cover topics such as the history of electronic warfare, definitions and terms, electromagnetic spectrum and electronic countermeasures. It will discuss concepts such as radar and communication fundamentals, vulnerabilities, jamming techniques and denial and deception. The speaker, Dr. Lee Kar Heng from the TBSS Center for Electrical and Electronics Engineering, will lead the seminar.

During the 2016 Green Day conference organized by AGOL and LUISS University, Massimo Comparini, CEO of e-Geos introduced us on how satellite technology can support climate change monitoring

UK Spectrum Policy Forum Cluster 1 Meeting (Defence) – 30 September 2014 Jade McCready, Head of Electromagnetics, Military Air & Information, BAE Systems Defence Sector Briefing on Behalf of BAE Systems More information at: http://www.techuk.org/about/uk-spectrum-policy-forum All rights reserved

This document provides an agenda for an Advanced Eclipse Workshop on June 30, 2010. It introduces the three presenters and provides an overview of topics to be covered, including Eclipse basics, shortcuts, templates, validators, PHP Tool Integration, Subversion, debugging with Xdebug, external tools, and building documentation. Hands-on exercises are included for preferences, debugging configuration, and debugging sessions. Contact information and licensing details are also provided.

This document provides an overview of the Python programming language and its capabilities for functional programming. It describes Python's attributes such as being portable, object-oriented, and supporting procedural, object-oriented, and functional programming. It also lists several popular Python modules that provide additional functionality and examples of code written in both a procedural and object-oriented style in Python. Finally, it provides examples of functional programming concepts like map, filter and reduce implemented in Python along with references for further information.

Basics of linux

A PyConUA 2017 talk on debugging Python programs with gdb. A blog post version: http://podoliaka.org/2016/04/10/debugging-cpython-gdb/

This document summarizes a talk about microservices architecture using Golang. It discusses some key advantages of Golang for building microservices like static compilation, concurrency support through goroutines, and built-in HTTP and JSON packages. It also covers Docker for containerization, and tools like Docker Machine, Swarm and Compose for orchestration. Prometheus is presented as an open-source monitoring solution for microservices running in Docker containers.

Logging for Production Systems in The Container Era discusses how to effectively collect and analyze logs and metrics in microservices-based container environments. It introduces Fluentd as a centralized log collection service that supports pluggable input/output, buffering, and aggregation. Fluentd allows collecting logs from containers and routing them to storage systems like Kafka, HDFS and Elasticsearch. It also supports parsing, filtering and enriching log data through plugins.

How to write CLI apps for macOS using swift, which packages to use, common challenges to overcome, how to structure your CLI app code.

This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, its basic features and uses. Python is an interpreted, object-oriented programming language that is designed to be readable. It can be used for tasks such as web development, scientific computing, and scripting. The document also covers Python basics like variables, data types, operators, and input/output functions. It provides examples of Python code and discusses best practices for writing and running Python programs.

Debuggers on windows. WinDbg showcase. Python extensions in WinDbg. Extended information on PyKd.

The document describes a practical training project to develop a job portal website using PHP at Masters Infosoft Pvt. Ltd. in Jaipur, India by Arjun lal Kumawat, a student at Sobhasaria Engineering College. It discusses the objectives, scope, system analysis and design, hardware and software requirements, data flow diagram, and testing of the job portal website project.

- A Tour through other Programming Languages - History and Bird's Eye View of Features - Translation and Compilation Process - Books

This document discusses using PHP as middleware in embedded systems. It begins by describing challenges in embedded systems like hardware limitations and difficulties with deployment and updates. It then proposes using PHP and various PHP extensions to address these challenges by acting as software glue between applications and hardware. The document outlines various tasks like porting libraries to the embedded platform, developing and debugging PHP applications for embedded systems, and performance tuning. It provides examples of using PHP for tasks like interfacing with REST APIs, handling different data formats, encryption, and data storage. Overall it argues that PHP can serve as an effective middleware solution in embedded systems development.

The document appears to be a block of random letters with no discernible meaning or purpose. It consists of a series of letters without any punctuation, formatting, or other signs of structure that would indicate it is meant to convey any information. The document does not provide any essential information that could be summarized.

Tech introduction to Yaetos, an open source tool for data engineers, scientists, and analysts to easily create data pipelines in python and SQL and put them in production in the cloud.

Overview to CNCF Serverless WG. Video can be found at https://www.youtube.com/watch?v=qeXlKbogeMc#t=8m40s

Monitoring tools record the result of what happened to your web application when a problem arises, but for some classes of problems, monitoring systems are only a starting point. Sometimes it is necessary to take more intrusive steps to plan for the unexpected by embedding mechanisms that will allow you to interact with a live deployed web application and extract even more detailed information.

This document discusses various aspects of developing and distributing Python projects, including versioning, configuration, logging, file input, shell invocation, environment layout, project layout, documentation, automation with Makefiles, packaging, testing, GitHub, Travis CI, and PyPI. It recommends using semantic versioning, the logging module, parsing files with the file object interface, invoking shell commands with subprocess, using virtualenv for sandboxed environments, Sphinx for documentation, Makefiles to automate tasks, setuptools for packaging, and GitHub, Travis CI and PyPI for distribution.

The document summarizes the steps taken to set up a Django project called "he" on Ubuntu. It shows commands used to install Python, virtualenv, Django and other dependencies. Database setup with PostgreSQL is also demonstrated. An app called "board" is created, with a Post model defined and admin configured. Templates are added and the development server is run. Authentication and registration are implemented along with forms to add new posts. The project is developed iteratively through multiple versions.

This document provides an overview of Python basics and logging concepts relevant to troubleshooting OpenStack. It discusses Python's characteristics as a dynamic, object-oriented language. It also covers Python modules and packages, the Python logging framework used in OpenStack, different logging levels, and how to read Python stack traces and add logging to determine the source of issues. Finally, it discusses the multi-process, multi-threaded, and greenlet execution models in OpenStack and how they relate to log analysis.

The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.

YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well. Some facts about WPRiders and why we are one of the best firms around: More than 700 five-star reviews! You can check them here. 1500 WordPress projects delivered. We respond 80% faster than other firms! Data provided by Freshdesk. We’ve been in business since 2015. We are located in 7 countries and have 22 team members. With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce. Our team members are: - highly experienced developers (employees & contractors with 5 -10+ years of experience), - great designers with an eye for UX/UI with 10+ years of experience - project managers with development background who speak both tech and non-tech - QA specialists - Conversion Rate Optimisation - CRO experts They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals. At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.

Profile portofolio

Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.

Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality. Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality. Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality. Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank? ** Episode Overview ** In this first episode of our quality series, Kristen Hansen and the panel discuss: ⦿ What do we mean when we say patent quality? ⦿ Why is patent quality important? ⦿ How to balance quality and budget ⦿ The importance of searching, continuations, and draftsperson domain expertise ⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications https://www.aurorapatents.com/patently-strategic-podcast.html

Everything that I found interesting about engineering leadership last month

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.