<prompt> Ke maemong afe moo u ka sebelisang marang-rang a convolutional neural?nan  <response>: Instruction in English: Under what scenarios would you use a convolutional neural network? . Response in English: A convolutional neural network CNN is a type of artificial neural network commonly used in image recognition and processing tasks. CNNs can be used in various scenarios where image or spatio-temporal data is involved, including:1. Image Classification: CNNs are widely used for classifying images into different labeled classes, for example, in image recognition, quality control in manufacturing and medical imaging.2. Object Detection: A CNN can locate objects within an image and draw a bounding box around each one, identifying the objects present in the image.3. Image Segmentation: Here, a CNN can be used to divide an image into multiple segments and label them according to the object or feature within each segment.4. Facial Recognition: CNNs are used to accurately identify and verify an individuals face in image or video data.5. Natural Language Processing NLP: Even though CNNs are popularly used for image data, they are also used in NLP tasks such as text classification, and sentiment analysis.6. Video Analysis: As video can be interpreted as a series of images, CNNs can be used for video analysis, for example in video surveillance, crowd analysis, and activity recognition.In general, CNNs have emerged as a powerful tool to handle and interpret data with grid-like topology like images, videos and even time-series data, and are widely used in tasks were spatial hierarchies and patterns exist. . Response in Sesotho: Convolutional neural network CNN ke mofuta oa neural network ea maiketsetso e sebelisoang hangata ho lemoha litšoantšo le mesebetsi ea ho e lokisa. Li-CNN li ka sebelisoa maemong a fapaneng moo setšoantšo kapa data ea nako ea sebaka se amehang, ho kenyeletsoa: 1. Tlhaloso ea Litšoantšo: Li-CNN li sebelisoa haholo bakeng sa ho arola litšoantšo ka lihlopha tse fapaneng tse ngotsoeng, mohlala, ho lemoha litšoantšo, ho laola boleng ho tlhahiso le litšoantšo tsa bongaka. 2. Tlhahiso ea Ntho: CNN e ka fumana lintho ka hara setšoantšo me ea taka lebokose le pota-potileng se seng le se seng, e khetholla lintho tse teng setšoantšong. 3. Karohano ea Litšoantšo : Mona, CNN e ka sebelisoa ho arola setšoantšo ka likarolo tse ngata le ho li ngola ho latela ntho kapa tšobotsi ka hare ho karolo ka ngoe. 4. Tlhahiso ea Sefahleho: Li-CNN li sebelisetsoa ho khetholla le ho netefatsa sefahleho sa motho ka setšoantšo kapa boitsebiso ba video. 5. Tlhahiso ea Lipuo tsa Tlhaho NLP: Leha li-CNN li sebelisoa haholo bakeng sa data ea litšoantšo, li boetse li sebelisoa mesebetsing ea NLP joalo ka ho hlophisa mongolo, le tlhahlobo ea maikutlo. 6. Analysis ea Video: Kaha video e ka hlalosoa e le letoto la litšoantšo, li-CNN li ka sebelisoa bakeng sa tlhahlobo ea video, mohlala ho shebella video, ho hlahloba bongata, le ho lemoha mesebetsi. Ka kakaretso, li-CNN li hlahile e le sesebelisoa se matla sa ho sebetsana le ho toloka datha tse nang le grid-like topology joalo ka litšoantšo, livideo esita le lintlha tsa letoto la nako, me li sebelisoa haholo mesebetsing e ne e le maemo a maemo a sebaka le mekhoa e teng. 