TCP/IP Modelhelps you to determine how a specific computer should be connected to the internet and how data should be transmitted between them. It helps you to create a virtual network when multiple computer networks are connected together. The purpose of TCP/IP model is to allow communication ...
Learn about firewalls in networking, their functions and types, and how they protect your network from unauthorized access and cyber threats.
Network-to-network connections are what make the Internet possible. The "network layer" is the part of the Internet communications process where these connections occur, by sending packets of data back and forth between different networks.
Network devices.These physical devices or nodes are the data communication equipment that is connected inside a computer network. Examples of network devices include modems,routers, PCs, servers,firewalls, switches andgateways. Each device in a computer network is identified by a network address and ...
A diagram of the different types of network cables 2. Twisted pair Originally invented by Alexander Graham Bell to carry telephone signals, twisted-pair cabling is the most common choice for network cabling. Twisted pairuses copper wires that are, as the name sugges...
IPRAN andpacket transport network(PTN) are the most widely used packet backhaul solutions. Although both solutions adopt the concept of packet scheduling, their implementation is different. PTN inherits SDH's excellent OAM features from traditional transport networks, places packet switching at its core...
Dive deep into the OSI Model to understand its seven layers, their functions, and how it defines the networking framework to implement protocols in seven layers.
The principles for implementing resource isolation are different between a FlexE interface and a channelized sub-interface. As shown in the figure, FlexE interfaces are isolated based on timeslots between the MAC and PHY layers. Each FlexE interface has an independent MAC layer and is not affected...
There are two broad categories of ANNs based on the number of hidden layers:shallowanddeep neural networks. Shallow ANNs have only one hidden layer, while deep neural networks (DNNs or deep nets) have two or more hidden layers. There are also different types of neural network architectures. ...
it appears to be an image of 160 by 160 with 32 different values at each pixel here is some portion of the output [[[-0.07753567397594452, -0.20710693299770355, 0.23461437225341797, 0.5300124287605286, 0.24696356058120728, 0.20757406949996948, how