PPT-SDN Lecture 2 Layer I: Infrastructure

Layer II Southbound Interfaces IV SOFTWAREDEFINED NETWORKS BOTTOMUP An SDN architecture can be represented as a composition of different layers as shown in Figure 6 b Each layer has its own specific functions While some of them are always present in an SDN deployment such as the southbound API network operating systems northbound API and network applications others may be present only in particular deployments such as hypervisor or languagebased virtualization . Sikandar. . Capgemini. . Canada Inc. .. Adnaan.Sikandar@capgemini.com. Enterprise Architecture Modeling. With . ArchiMate. & . Sparx. Agenda. ArchiMate. Overview . ArchiMate. Concepts. Framework & Concept. Troy, Brian Voigt and . Weiqi. Zhou . except where noted © . 2011. Lecture 5:. Introduction to Raster . Analysis. ------Using GIS--. By Austin . Troy, Brian Voigt . and . Weiqi. . Zhou. University . Mid-Ocean Ridge Volcanism. GLY 4310 - Spring, 2016. 2. MOR System. 3. MOR Spreading Rates. 4. Oceanic Crust Cross-Section. Figure 13-5 . Modified after Brown and . Mussett. (1993) . The Inaccessible Earth: An Integrated View of Its Structure and Composition. Chapman & Hall. London.. Mid-Ocean Ridge Volcanism. GLY 4310 - Spring, 2017. 2. MOR System. 3. MOR Spreading Rates. 4. Oceanic Crust Cross-Section. Figure 13-5 . Modified after Brown and . Mussett. (1993) . The Inaccessible Earth: An Integrated View of Its Structure and Composition. Chapman & Hall. London.. cortex:. inhibitory . elements. . Mitnyik. Levente. CELLURAL . components. OF THE CORTEX. Stellate. and . basket. . cells. Purkinje. . cell. (. layer. ). Granule. . cell. (. layer. ). Paralell. boris. . ginzburg@intel.com. Agenda. Introduction to gradient-based learning for Convolutional NN. Backpropagation. for basic layers. Softmax. Fully Connected layer. Pooling. ReLU. Convolutional layer. Weiqi. Zhou, University of Vermont © . 2011. The Vector Data Model. Multi-layer Vector Queries. Spatial Join. Geoprocessing. 1. Vector Data Model. The Vector Data Model. Three types of vector data. Unit 6. Layer . 2 Networking, . VLANs,. and Resiliency. Learning Objective. Design a . Layer . 2 network with VLANs and . resiliency.. Key Concepts. Layer 2 networking features and capabilities. Virtual LANs. 19. Network Layer . (Routing Algorithms). slides are modified from . J. Kurose & K. Ross. University of Nevada – Reno. Computer Science & Engineering Department. Fall . 2011. CPE 400 / 600. Computer Networking: A Top Down Approach . 6. th. edition . Jim Kurose, Keith Ross. Addison-Wesley. March 2012. CS3516:. These slides are generated from those made available by the authors of our text.. The Greenbrier Resort, West Virginia. Past, Present, and the Future of Asphalt Industry. Serji Amirkhanian. Human Being. July 23, 2016. Time to sleep,. he is very boring. Life without Serji. To drink or not to drink, that’s the question!! . . Introductive Physical Oceanography. This . powerpoint. was prepared for purposes of this lecture and course only. It contains graphics from copyrighted books and journals. Please do not use without acknowledgment of these sources.. boris . ginzburg@intel.com Lecture 2: Caffe : getting started Forward propagation Agenda Caffe – getting started Test description Network topology definition Basic layers: definition and forward propagation Mark Hasegawa-Johnson. April 6, 2020. License: CC-BY 4.0. You may remix or redistribute if you cite the source.. Outline. Why use more than one layer?. Biological inspiration. Representational power: the XOR function.