<prompt> Hlalosa mohopolo oa marang-rang a LSTM.nan  <response>: Instruction in English: Explain the concept of an LSTM network. . Response in English: LSTM network stands for Long Short-Term Memory network, which is a type of Recurrent Neural Network RNN that is commonly used in Natural Language Processing, Speech Recognition, and other problems involving sequential data. The main characteristic of LSTM networks is its ability to preserve long-term dependencies, meaning it can remember information for longer periods of time than typical RNNs. This is achieved through its cell state and its gating mechanism, which enable the network to manage what information to keep, forget or update. An LSTM network is made up of several LSTM units or cells arranged in layers. Each cell contains three main components or gates that help control the flow of information - the input gate, the forget gate, and the output gate. The input gate determines how much new information from the current input should be passed to the cell state. The forget gate decides how much of the previous cell state should be retained or forgotten. The output gate controls how much of the current cell state should be output or passed to the next layer. These three gates interact with the cell state, which is the memory of the LSTM network. The cell state is updated at each time step, depending on the input, the previous cell state, and the operation of the gates. This enables the LSTM to keep or discard information over long time periods, making it a powerful tool for sequence prediction and language modeling. . Response in Sesotho: Marang-rang a LSTM a emetse netweke ea nako e telele ea Memory, e leng mofuta oa Recurrent Neural Network RNN o sebelisoang hangata ho Natural Language Processing, Speech Recognition, le mathata a mang a amanang le data e latellanang. Tšobotsi e ka sehloohong ea marang-rang a LSTM ke bokhoni ba eona ba ho boloka ho itšetleha ka nako e telele, ho bolelang hore e ka hopola boitsebiso ka nako e telele ho feta RNN e tloaelehileng. Sena se finyelloa ka boemo ba lisele tsa eona le mokhoa oa eona oa ho koala, o nolofalletsang marang-rang ho laola hore na ke boitsebiso bofe bo lokelang ho bolokoa, ho lebala kapa ho ntlafatsa. Marang-rang a LSTM a entsoe ka likarolo tse maloa tsa LSTM kapa lisele tse hlophisitsoeng ka mekhahlelo. Sele e ngoe le e ngoe e na le likarolo tse tharo tse kholo kapa liheke tse thusang ho laola ho phalla ha tlhahisoleseding - heke ea ho kenya, monyako oa lebala, le monyako oa tlhahiso. Heke ea ho kenya e etsa qeto ea hore na ke lintlha tse kae tse ncha tse tsoang ho kenyeletso ea hajoale tse lokelang ho fetisetsoa sebakeng sa sele. Heke ea lebala e etsa qeto ea hore na ke bokae ba sele e fetileng e lokelang ho bolokoa kapa ho lebaloa. Heke ea tlhahiso e laola hore na sele e kae ea sele e lokelang ho hlahisoa kapa e fetisetsoe ho lera le latelang. Liheke tsena tse tharo li sebelisana le boemo ba sele, e leng memori ea marang-rang a LSTM. Boemo ba sele bo ntlafatsoa mohatong o mong le o mong oa nako, ho ipapisitse le kenyeletso, boemo ba sele bo fetileng, le tsebetso ea liheke. Sena se nolofalletsa LSTM ho boloka kapa ho lahla tlhahisoleseding ka nako e telele, e leng se etsang hore e be sesebelisoa se matla sa ho bolela esale pele ka tatellano le mohlala oa puo. 