CS230 - 06

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• Теоријске основе преноса података • Физички медијуми за пренос података • Бежични пренос података Физички слој

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CS230 - 06

Transcript of CS230 - 06

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  • f = 1/T- T- an, bn- n- c-

  • b 01100010.

  • : . 0 fc. (bandwidth). , .

  • . ( 1MHz 3100Hz).

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  • . . (twisted pair). 1988. 3. ( 4 , 16MHz ). 1988. 5. ( , 100MHz ). 6. 7. ( 250MHz, 600Hz).

  • . UTP (Unshielded Twisted Pair).

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  • ( ). , ( 100km 50Gb/s).

  • . 1865. , 1887. . 3108m/s 2/3 .

  • , f = c


CS230 Instruction Manual - Campbell Sci · 2017-06-06 · precautions . danger — many hazards are associated with installing, using, maintaining, and working on or around . tripods,

CS230 Instruction Manual - Campbell Sci · 2017-06-06 · precautions . danger — many hazards are associated with installing, using, maintaining, and working on or around . tripods,

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18681618.pdf · Tool detection:Used Fast-RCNN for spatial detection of surgical tools and VGG16 for classification

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18681618.pdf · Tool detection:Used Fast-RCNN for spatial detection of surgical tools and VGG16 for classification

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15811869.pdf · realistic personalised letters, formulating digital signatures, etc. In order to preserve information

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15811869.pdf · realistic personalised letters, formulating digital signatures, etc. In order to preserve information

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12447633.pdfParas, Ledyba, Spinarak, Venonat, Sil- coon Lugia, Mesprit, Mew, Victini, Celebi, Cresselia, Volcanion,

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12447633.pdfParas, Ledyba, Spinarak, Venonat, Sil- coon Lugia, Mesprit, Mew, Victini, Celebi, Cresselia, Volcanion,

web.stanford.eduweb.stanford.edu/class/cs230/files_winter_2018/projects/6939387.pdf · product (e.g. women's jumpsuits). We collected the images by scraping seven shopping sites I

web.stanford.eduweb.stanford.edu/class/cs230/files_winter_2018/projects/6939387.pdf · product (e.g. women's jumpsuits). We collected the images by scraping seven shopping sites I

CS230 : Computer Graphics

CS230 : Computer Graphics

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8284325.pdf · 2018. 9. 28. · Aditya Chander ( ac888@stanford.edu ), Marina Cottrell ( mborsodi@stanford.edu ),

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8284325.pdf · 2018. 9. 28. · Aditya Chander ( [email protected] ), Marina Cottrell ( [email protected] ),

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,

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shopping.geocities.jpcs330* cs230* (cs60*) (CSI (csso*) CS21saPR (css.6SBF) cs32S* (cs2as*) css97B* (cssgs8*) (cssgoeM) cs70* (ca8AS) (csa06BY1) (csa06BY7) (csa06Y1)

shopping.geocities.jpcs330* cs230* (cs60*) (CSI (csso*) CS21saPR (css.6SBF) cs32S* (cs2as*) css97B* (cssgs8*) (cssgoeM) cs70* (ca8AS) (csa06BY1) (csa06BY7) (csa06Y1)

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15766721.pdf · and representations of the results), media monitoring, newsletters, social media marketing, question

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15766721.pdf · and representations of the results), media monitoring, newsletters, social media marketing, question

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18679631.pdf · 2019-06-13 · train v2.csv - the updated training set - contains user transactions from August 1st

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18679631.pdf · 2019-06-13 · train v2.csv - the updated training set - contains user transactions from August 1st

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · Medical diagnostics with retinal images is an active area of research in the deep- learning community. Building

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · Medical diagnostics with retinal images is an active area of research in the deep- learning community. Building

A of sites that exchange informa- - Donald Bren School of ...cs230/reading/00043525.pdf · of sites that exchange informa-

A of sites that exchange informa- - Donald Bren School of ...cs230/reading/00043525.pdf · of sites that exchange informa-

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · 2018-09-28 · generator, 2) predictive algorithms, 3) portfolio design and risk management parameters, and

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · 2018-09-28 · generator, 2) predictive algorithms, 3) portfolio design and risk management parameters, and

CS230: Lecture 3 · CS230: Lecture 3 The mathematics of deep learning Backpropagation, Initializations, Regularization Kian Katanforoosh

CS230: Lecture 3 · CS230: Lecture 3 The mathematics of deep learning Backpropagation, Initializations, Regularization Kian Katanforoosh

ColorEdge CS230/CX240 User's Manualcdn.cnetcontent.com/50/44/5044c719-ee59-4aeb-a2a0-fab75fe81fb3.pdf · As it takes about 30 minutes (CS230) / 7 minutes (CS240: under our measurement

ColorEdge CS230/CX240 User's Manualcdn.cnetcontent.com/50/44/5044c719-ee59-4aeb-a2a0-fab75fe81fb3.pdf · As it takes about 30 minutes (CS230) / 7 minutes (CS240: under our measurement

CS230-Fall 2019 Final Project Report Painting Genre ...cs230.stanford.edu/projects_fall_2019/reports/26180781.pdf · CS230-Fall 2019 Final Project Report Painting Genre Classification

CS230-Fall 2019 Final Project Report Painting Genre ...cs230.stanford.edu/projects_fall_2019/reports/26180781.pdf · CS230-Fall 2019 Final Project Report Painting Genre Classification