<prompt> Molemo oa ho sebelisa neural network bakeng sa mesebetsi ea pono ea komporo ke ofe?nan  <response>: Instruction in English: What is the benefit of using a neural network for computer vision tasks? . Response in English: Neural networks are a popular choice for computer vision tasks because they can effectively learn and recognize patterns in large and complex datasets, such as images or videos. Some of the benefits of using neural networks for computer vision tasks are:1. High accuracy: Neural networks can achieve high accuracy in tasks such as object recognition, image classification, and segmentation, by learning complex features and hierarchically representing the data.2. Robustness: Neural networks are robust to noise and variations in the data such as changes in illumination, scale, and orientation. They can generalize well to new data, even if it slightly different from the training data.3. Adaptability: Neural networks can adapt to changing environments by continuously learning from new data. This makes them well-suited for tasks where the data is dynamic and changes over time.4. Versatility: Neural networks can be used for a wide range of computer vision tasks, such as face recognition, object detection, image synthesis, and more, due to their ability to learn complex, non-linear relationships between inputs and outputs.Overall, the use of neural networks in computer vision tasks has led to significant improvements in performance and has enabled the development of many real-world applications in areas such as surveillance, healthcare, and autonomous vehicles. . Response in Sesotho: Marang-rang a Neural ke khetho e tsebahalang bakeng sa mesebetsi ea pono ea khomphutha hobane e khona ho ithuta le ho lemoha mekhoa ea li-database tse kholo le tse rarahaneng, joalo ka litšoantšo kapa livideo. Melemo e meng ea ho sebelisa marang-rang a marang-rang bakeng sa mesebetsi ea pono ea khomphieutha ke: 1. Ho nepahala ho phahameng: Marang-rang a Neural a ka finyella ho nepahala ho phahameng mesebetsing e kang ho lemoha lintho, ho arola litšoantšo, le ho arola, ka ho ithuta likarolo tse rarahaneng le ho emela lintlha ka mokhoa o hlophisitsoeng. 2. Matla: Marang-rang a Neural a matla ho lerata le ho fapana ha data joalo ka liphetoho tsa khanya, sekala, le mokhoa. Ba ka akaretsa hantle ho data e ncha, le haeba e fapane hanyane le data ea koetliso. 3. Ho ikamahanya le maemo: Marang-rang a Neural a ka ikamahanya le maemo a fetohang ka ho tsoela pele ho ithuta ho tsoa ho data e ncha. Sena se etsa hore li tšoanelehe hantle bakeng sa mesebetsi moo data e leng matla le ho fetoha ha nako e ntse e ea. 4. Mekhoa e fapaneng: Marang-rang a Neural a ka sebelisoa bakeng sa mesebetsi e mengata ea pono ea khomphieutha, e kang ho lemoha sefahleho, ho lemoha lintho, ho kopanya litšoantšo, le ho feta, ka lebaka la bokhoni ba bona ba ho ithuta likamano tse rarahaneng, tse sa tšoaneng pakeng tsa lintho tse kenang le tse hlahisoang. Ka kakaretso, tsebeliso ea marang-rang a neural mesebetsing ea pono ea khomphutha e lebisitse ntlafatsong e kholo tsebetsong mme e nolofalelitse ntsetsopele ea litsebetso tse ngata tsa nnete tsa lefatse libakeng tse joalo ka leihlo, tlhokomelo ea bophelo bo botle le likoloi tse ikemetseng. 