<prompt> Hlalosa mohopolo oa marang-rang a hokahaneng ka botlalo.nan  <response>: Instruction in English: Explain the concept of a fully connected network. . Response in English: A fully connected network is a type of network topology in which each node or device in the network is connected to every other node or device. This means that there is a direct link between every pair of nodes, resulting in a complete graph where the number of links or edges is defined by the formula nn-12, where n is the number of nodes in the network.In such a network, data can be transmitted from any node to any other node directly, without having to pass through intermediate nodes, making communication quick and efficient. However, the disadvantage of a fully connected network is its complexity and cost, as the number of connections grows rapidly with the number of nodes, making it impractical for large networks.Fully connected networks are commonly used in artificial neural networks, where each neuron is connected to every other neuron in the previous and next layers. This allows for a high degree of interconnectivity and information exchange between neurons, enabling complex and powerful computation. . Response in Sesotho: Marang-rang a hokahantsoeng ka botlalo ke mofuta oa topology ea marang-rang eo ho eona node kapa sesebelisoa se seng le se seng se hokahaneng le node kapa sesebelisoa se seng le se seng. Sena se bolela hore ho na le kamano e tobileng pakeng tsa li-node tse peli, e leng se etsang hore ho be le graph e feletseng moo palo ea li-link kapa lihlopha li hlalosoang ka mokhoa oa nn-12, moo n e leng palo ea li-node ho marang-rang. . Marang-rang a joalo, data e ka fetisoa ho tloha node leha e le efe ho ea ho node leha e le efe ka ho toba, ntle le ho feta ho li-node tse bohareng, ho etsa hore puisano e potlake le e sebetsang hantle. Leha ho le joalo, bofokoli ba marang-rang a hokahaneng ka ho feletseng ke ho rarahana ha oona le litšenyehelo, ha palo ea likhokahano e ntse e hōla ka potlako ka palo ea li-node, e leng se etsang hore e se ke ea sebetsa bakeng sa marang-rang a maholo. Marang-rang a hokahantsoeng ka botlalo a sebelisoa hangata ho marang-rang a maiketsetso a methapo ea kutlo, moo neuron e ngoe le e ngoe e hokahaneng le neuron e ngoe le e ngoe e maemong a fetileng le a latelang. Sena se lumella hore ho be le tekanyo e phahameng ea ho hokahanya le phapanyetsano ea tlhahisoleseding pakeng tsa li-neurone, e leng se nolofalletsang ho etsa lipalo tse rarahaneng le tse matla. 