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Content 5 Live layers. we livuel includes o layers that matter so that we only need to PDNTSPA The application layer is responsible for handling the application data that is sent FTP, and Gnutella. from host to host. Examples of application layer protocols include HTTP, SMTP, The transport layer deals with logical end-to-end transport of the data. The transport layer protocols of interest are TCP and UDP. . The network laver routes the data through the network. IP is the network layer protocol that matters to us. The link layer handles the transferring of data over each individual link of the network. There are many link layer protocols hut turn ether- nat ond ADD The physical layer sends the bits over the physical media. If you want to kn about the physical layer, study electrical engineering. data nasses down the protocol stack e and then Conceptually, a par back up the protocol stack at the destination. Routers in the core of the network must process data up to the network layer in order to know where to route a packet. This is illustrated in Figure 14.2. Suppose that X is a packet of application data at the source. As X goes down protocol each protocol adds a header, which includes the information required by that particu- atian lover Then the anolication layer

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Content Yann LeCun ylecun 7h Yes, but the other man invented a key technique that made autonomous driving possible: convolutional neural networks. Convolutional nets are used in just about every real-time vision system today. For driving assistance, they have been used by MobilEye since 2014, by Tesla since... Show more 75 17 82 941 Elon Musk IX elonmusk 6h We don't use CNNs much these days tbh 210 17 192 1.2K la 162K 1 Yann LeCun ylecun 5h Curious to know how you could possibly do real-time camera image understanding in FSD without ConvNets, TBH. 189 17 111 1.6K la 155K ProarammerHumor.io

Content y-cruncher - A Multi-Threaded Pi-Program From a high-school project that went a little too far... By Alexander J. Yee (Last updated: January 29, 2017) The first scalable multi-threaded Pi-benchmark for multi-core systems... How fast can your computer compute Pi? -cruncher is a program that can compute Pi and other constants to trillions of digits. It is the first of its kind that is multi-threaded and scalable to multi-core systems. Ever since its launch in 2009, it has become a common benchmarking and stress-testing application for overclockers and hardware enthusiasts. -cruncher has been used to set several world records for the most digits of Pi ever computed. 22.4 trillion digits - November 2016 (Peter Trueb) 13.3 trillion digits - October 2014 ("houkouonchi") 12.1 trillion digits - December 2013 (Shigeru Kondo) 10 trillion digits - October 2011 (Shigeru Kondo) 5 trillion digits - August 2010 (Shigeru Kondo) ProgrammerHumor.i Shortcuts: Numberworld Home Records Set by y-cruncher Download y-cruncher redires Known Issues Benchmarks Fastest Times Algorithms FAQ Links Contact Me