A serial backbone network is one of the four basic types of backbone networks. It is the simplest form of the backbone network and is typically used for computer vision applications. There are pros and cons to both types of networks. The following is a brief explanation of each. Fiber-optic cabling is generally preferred, but there are cases when copper wiring is required. Read on to learn more about the different types of serial networks.
Simplest type of backbone network
The simplest type of serial backbone network is composed of two or more devices connected in a chain. It can be implemented using switches, routers, and gateways. This type of network is not scalable and is not widely used. The distributed backbone, on the other hand, is composed of many layers and is more efficient for large networks. However, it has several disadvantages. Let’s discuss each type of serial backbone in detail.
Used in computer vision
Among the various models of a neural network, the serial backbone network is the most commonly used one in computer vision. This type of neural network is able to process several types of input data and is capable of solving many computer vision tasks. The architecture of this network is illustrated in Figure 2. The backbone consists of four blocks with different number of channels and filter sizes. Block one is responsible for detecting the general features while the rest are useful for detecting more detailed features. The backbone network is very powerful in transfer learning, which further enhances the overall performance of the proposed algorithm.
Fiber-optic cabling is preferred
The use of fiber-optic cabling in a serial backbone network has many advantages. The cabling is highly flexible and works well in areas with high levels of electromagnetic interference. In addition, it is more … Continue reading >>>