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۲۱- نوار ادیت و نوار ایمیج در فتوشاپ

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به شبکه ی تکنولوژی و کامپیوتر خوش آمدید. این شبکه هدفش این است تا با آموزش مجازی کامپیوتر و هر چیز دیگری مرتبط با تکنولوژی، فارسی زبانان سراسر دنیا را آگاه سازد. لطفا سابسکرایب کنید و ویدئو ها را دنبال کنید. اگر سوالی مربوط به کامپیوتر مخصوصا نرم افزار داشتید در قسمت نظرات بپرسید. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ----------------------------------------------------------------------------------------------- ترک, ترکی, فارس, تهران, آذربایجان شرقی, آذربایجان غربی, اردبیل, اصفهان, تبریز, ارومیه, البرز, کرج, ایلام, بوشهر, چهارمحال و بختیاری, شهرکرد, خراسان جنوبی, بیرجند, خراسان رضوی, مشهد, خراسان شمالی, بجنورد, خوزستان, اهواز, زنجان, سمنان, سیستان و بلوچستان, زاهدان, فارس, شیراز, قزوین, قم, کردستان, کرمان, کرمانشاه, کهگیلویه و بویراحمد, یاسوج, گلستان, گرگان, گیلان, رشت, لرستان, خرم‌آباد, مازندران, ساری, مرکزی, اراک, هرمزگان, بندرعباس, همدان, یزد, مراغه، مرند و میانه,خوی، میاندوآب و مهاباد, پارس‌آباد، مشگین‌شهر و خلخال, کاشان، خمینی‌شهر و نجف‌آباد, هشتگرد، نظرآباد و محمدشهر,ایوان، دهلران و آبدانان,برازجان، بندر گناوه و خورموج,اسلام‌شهر، شهر ری و قدس,بروجن، فرخ‌شهر و فارسان,قائن، طبس، فردوس و نهبندان,سبزوار، نیشابور و تربت حیدریه,شیروان، اسفراین و گرمه جاجرم,دزفول، آبادان و خرمشهر,ابهر، خرمدره و قیدار,شاهرود، دامغان و گرمسار,زابل، ایرانشهر و چابهار,کازرون، جهرم و مرودشت,تاکستان، الوند و اقبالیه,قنوات، جعفریه و کهک,سقز، مریوان و بانه,سیرجان، رفسنجان و جیرفت,اسلام‌آباد غرب، هرسین و کنگاور,دوگنبدان، دهدشت و لیکک,گنبد کاووس، علی‌آباد کتول و بندر ترکمن,بندر انزلی، لاهیجان و آستارا,بروجرد، الیگودرز و دورود,بابل، آمل و قائم‌شهر,ساوه، خمین و محلات,میناب، دهبارز و بندر لنگه,ملایر، نهاوند و تویسرکان,میبد، اردکان و بافق, خلیج فارس,دریای خزر, ساعت, زمان, انجام, کار, خسته, کوفته, حال, حوصله, آموزش, درس, آینده, درست, درشت, نازک, باریک, قد, متوسط, آبی, سیاه, سفید, قرمز, سبز, زرد, صورتی, بنفش, طلا, طلایی, نقره, نقره ای, نیلی, خاکستری, سرمه‌ای, سرخ, آلبالویی, سرخآبی, مغزپسته ای, نارنجی, سبزدودی, ابی دربایی,

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What Is Fusion?: Introducing ITER and Wendelstein 7X

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In this first episode of every think, Dom explores how fusion works and the current technology out there making it happen - including France's colossal experimental reactor, ITER, and the soon to be switched on Wendelstein 7X in Germany. Special Thanks to Dr. Indranil Chatterjee, Research Scientist at University of Bristol and Prof. Jonathan Billowes at University of Manchester. Image Credits: ITER Organisation and Lawrence Livermore National Laboratory *What is Every Think?* Every Think is about, well, everything! Everything scientific and generally interesting that is. The channel explores the world we live in and the universe that world is in - from outer space to inside your body, Every Think has it covered. **CHECK OUT MY PATREON PAGE!** Hey, so I have a Patreon page now. Patreon is an awesome place where you can support creators like me. Click the link and see what rewards you could get for supporting me. https://www.patreon.com/everythink *What is Patreon?* https://youtu.be/rwvUjAv6pxg *Website* https://www.domburgess.com *Social Media* Twitter - @DumbBurgess Instagram - @dumbburgess https://www.facebook.com/everythinksc... https://www.facebook.com/domburgesspr... *Other Videos To Check Out!* Why Going To Mars Would Be Bad For Your Body https://youtu.be/a6qMaA4G3zU What Is Stockholm Syndrome? Have We All Got It? https://youtu.be/v8JEsKTRzl8 Should We Send Animals to Mars? https://youtu.be/gBvflAYsPwc What Happens When You Are Struck By Lightning? https://www.youtube.com/watch?v=fj9Cb... How Do Atomic Clocks Work? https://youtu.be/l8CI3bs9rvY What Is Dark Matter? https://youtu.be/iTbP5XCGmMg

Poslední stažení před 3 hodinami

Monitoring of Rail Displacement Using Digital Image Processing

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Use image processing to perform a reasonably accurate and convenient method for measurement of rail displacements. Monitoring technologies that can detect changes in performance as well as precursors to failure are an important element of ensuring safe operation. For defining the rail performance, the key parameter which we should monitor is the rail track displacement. When standard diagnostic solutions are not available, a cost effective optical measurement system can be used for measuring rail displacements at distinct sections. In the study the main concept was to track displacement during train crossing by a high speed and high-resolution camera; finally, a MATLAB script performs the automatic post processing and report generation. Rails are marked with special stamps which ones are detected automatically on image streams; high accuracy results are ensured by camera calibration. MATLAB enables efficient image stream handling leading to short execution time. Individual stamps are tracked by correlation based pattern matching. The video shows the measured displacements (mm) of different points in the function of time (sec) during train crossing. The developed motion analysis method allows us to detect local errors quickly and easily from the vertical displacements of the railway track and define the current performance of the rail. Find more details at http://gamaxlabsol.com/childrens_railway in our Technical Corner. Used tools: MATLAB®, Image Processing Toolbox, Statistics and Machine Learning Toolbox™ This study was completed at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. Feel free to contact us with any questions.

Poslední stažení před 2 hodinami

Yann LeCun and Christopher Manning discuss Deep Learning and Innate Priors

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Read a summary of the discussion here: http://www.abigailsee.com/2018/02/21/deep-learning-structure-and-innate-priors.html A discussion between Yann LeCun and Christopher Manning on February 2 2018, at Stanford University. Discussion topic: "What innate priors should we build into the architecture of deep learning systems?" Moderated by Abigail See. ABOUT THE EVENT: Deep Learning has achieved huge success largely on the basis of end-to-end learning: the idea that a single neural network with many layers can learn to perform a complex task, from the raw input to the final output, with minimal human guidance on the intermediate stages. This approach has many advantages: it reduces the need for human-designed features, and allows us to design systems that are less pipelined and less task-specific. However, it may sometimes be advantageous to include certain innate priors – such as linguistic information for text-based tasks, for example – in our deep learning systems. At this event, Professors LeCun and Manning discuss what role these innate priors should play in modern Deep Learning – an active debate in the AI community. ABOUT THE SPEAKERS: Yann LeCun is the Chief AI Scientist at Facebook AI Research, a Silver Professor at New York University, and one of the leading voices in AI. He pioneered the early use of convolutional neural networks, which have been central to the modern success of Deep Learning. LeCun has been a leading proponent for the ability of simple but powerful neural architectures to perform sophisticated tasks without extensive task-specific feature engineering. Christopher Manning is the Thomas M. Siebel Professor in Machine Learning at Stanford University, and the world's leading NLP researcher. His work on applying deep learning to NLP includes influential research on Tree Recursive Neural Networks, GLoVe word vectors, and neural dependency parsing. Manning is a proponent for the importance of incorporating linguistic structure into deep learning systems.

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