<prompt> Hlalosa melemo e maloa ea ho sebelisa marang-rang a neural bakeng sa ho ithuta ka mochini.nan  <response>: Instruction in English: Describe a few advantages of using a neural network for machine learning. . Response in English: 1. High Accuracy: Neural networks are known for their ability to achieve high accuracy and improve their performance as more data is fed into the model, making them the ideal choice for complex data-driven tasks such as image recognition, speech recognition, and natural language processing.2. Adaptability: Neural networks can modify their structure and adjust the weights of their connections in response to changing situations, enabling the model to adapt and learn from new data patterns.3. Fault Tolerance: Neural networks can handle incomplete, noisy, and imprecise data, making them resilient to errors, missing values, and outliers.4. Parallel Processing: Neural networks can process multiple inputs concurrently, enabling them to handle large-scale data processing tasks with high efficiency.5. Generalization: A well-trained neural network has the ability to generalize and recognize patterns, even if they were not explicitly present in the training data, making them capable of making informed decisions and predictions on new data scenarios. . Response in Sesotho: 1. Ho nepahala ho phahameng: Marang-rang a Neural a tsejoa ka bokhoni ba bona ba ho finyella ho nepahala ho phahameng le ho ntlafatsa tsebetso ea bona ha boitsebiso bo bongata bo kenngoa mofuteng, e leng se etsang hore e be khetho e nepahetseng bakeng sa mesebetsi e rarahaneng e tsamaisoang ke data e kang ho lemoha setšoantšo, ho tseba puo, le tlhaho. tshebediso ya puo. 2. Ho ikamahanya le maemo: Marang-rang a Neural a ka fetola sebopeho sa bona mme a fetola boima ba likhokahano tsa bona ho arabela maemo a fetohang, a nolofalletsang mohlala ho ikamahanya le maemo le ho ithuta mekhoa e mecha ea data. 3. Mamello ea Phoso: Marang-rang a Neural a ka sebetsana le lintlha tse sa fellang, tse lerata, le tse sa nepahalang, tse etsang hore li khone ho mamella liphoso, litekanyetso tse sieo, le tse ling. 4. Tsebetso e Tšoanang: Marang-rang a Neural a ka sebetsana le lisebelisoa tse ngata ka nako e le ngoe, a li nolofalletsa ho sebetsana le mesebetsi e mengata ea ho sebetsana le data ka katleho e phahameng. 5. Kakaretso: Neural network e koetlisitsoeng hantle e na le bokhoni ba ho akaretsa le ho lemoha mekhoa, esita le haeba e ne e sa hlahe ka ho hlaka boitsebisong ba koetliso, e leng se etsang hore ba khone ho etsa liqeto tse nepahetseng le ho bolela esale pele ka maemo a macha a data. 