<prompt> Na marang-rang a neural a hloka data e ngolisitsoeng ho ithuta?nan  <response>: Instruction in English: Does a neural network need labeled data in order to learn? . Response in English: A neural network usually requires labeled data in order to learn through supervised learning. In supervised learning, the neural network is trained using labeled examples, wherein the input data is accompanied by the correct output or label. The neural network analyzes the input data and adjusts its internal weights and biases to produce the desired output. However, there are other learning techniques such as unsupervised learning and reinforcement learning where a neural network can learn without labeled data. Unsupervised learning allows the neural network to identify inherent patterns or features in the input data by itself, without any prior information about the data. Reinforcement learning involves an agent that learns by interacting with its environment and receiving feedback in the form of rewards or penalties. . Response in Sesotho: Marang-rang a neural hangata a hloka lintlha tse ngolisitsoeng e le hore a ithute ka thuto e hlokometsoeng. Thutong e hlokometsoeng, marang-rang a neural a koetlisetsoa ho sebelisa mehlala e ngolisitsoeng, moo data e kenang e tsamaeang le tlhahiso e nepahetseng kapa label. Neural network e hlahloba lintlha tsa ho kenya letsoho me e lokisa boima ba eona ba ka hare le litšekamelo ho hlahisa tlhahiso e lakatsehang. Leha ho le joalo, ho na le mekhoa e meng ea ho ithuta e kang ho ithuta ho sa hlokomeloe le ho matlafatsa thuto moo neural network e ka ithutang ntle le boitsebiso bo ngotsoeng. Ho ithuta ho sa hlokomeloe ho lumella marang-rang a marang-rang ho tseba mekhoa kapa likarolo tsa boitsebiso ka botsona, ntle le lintlha tsa pele mabapi le data. Ho ithuta ka matlafatso ho kenyelletsa moemeli ea ithutang ka ho sebelisana le tikoloho ea eona le ho amohela maikutlo ka mokhoa oa meputso kapa likotlo. 