<prompt> Hlalosa hore na convoluted neural network ke eng le hore na e fapana joang le neural network e tloaelehileng.nan  <response>: Instruction in English: Explain what a convoluted neural network is and how it differs from a regular neural network. . Response in English: A convoluted neural network CNN is a specific type of neural network often used in image and video recognition tasks. It differs from a regular neural network in that it is specifically designed to recognize patterns and features in a given input, by taking small, overlapping sections of the input and processing them in a way that identifies common features.CNNs are made up of multiple layers, each of which is designed to identify a specific type of feature in the input. The first layer may be responsible for identifying edges, while the next may identify corners, and so on. These layers work together to determine the content of the input and make predictions or decisions based on what it sees.One key advantage of CNNs over regular neural networks is that they are able to recognize patterns regardless of their positions in the input. So if the input is an image of a cat sitting on the left side of the frame, and the same cat sitting on the right side in another image, the CNN will be able to recognize it as a cat in both cases. This is achieved through the use of special techniques such as pooling, which reduces the size of the input while maintaining its overall composition.Overall, the difference between a CNN and a regular neural network lies in the fact that CNNs are specifically designed to identify patterns and features in inputs, making them particularly useful for image and video recognition tasks. . Response in Sesotho: convoluted neural network CNN ke mofuta o itseng oa marang-rang a neural a atisang ho sebelisoa mesebetsing ea ho lemoha litšoantšo le livideo. E fapane le marang-rang a tloaelehileng a methapo ea kutlo ka hore e etselitsoe ka ho khetheha ho lemoha mekhoa le likarolo ka mokhoa o fanoeng, ka ho nka likaroloana tse nyenyane, tse pota-potileng tsa ho kenya letsoho le ho li sebetsana ka tsela e khethollang likarolo tse tloaelehileng. Li-CNN li entsoe ka mekhahlelo e mengata, e ngoe le e ngoe e etselitsoe ho khetholla mofuta o itseng oa karolo ho kenyelletsong. Lera la pele le ka na la ikarabella bakeng sa ho khetholla mahlakoreng, ha le latelang le ka khetholla likhutlo, joalo-joalo. Likarolo tsena li sebetsa moho ho fumana litaba tsa tlhahiso le ho etsa likhakanyo kapa liqeto ho latela seo e se bonang. Molemo o mong oa bohlokoa oa li-CNN holima marang-rang a tloaelehileng a neural ke hore ba khona ho lemoha mekhoa ho sa tsotellehe maemo a bona ho kenya letsoho. Kahoo haeba ho kenya letsoho ke setšoantšo sa katse e lutseng ka lehlakoreng le letšehali la foreimi, me katse e tšoanang e lutse ka lehlakoreng le letona setšoantšong se seng, CNN e tla khona ho e lemoha e le katse maemong a mabeli. Sena se finyelloa ka tšebeliso ea mekhoa e khethehileng e kang ho kopanya, e fokotsang boholo ba ho kenya letsoho ha ho ntse ho boloka sebopeho sa eona ka kakaretso. Ka kakaretso, phapang pakeng tsa CNN le marang-rang a tloaelehileng a methapo e itšetlehile ka nete ea hore li-CNN li etselitsoe ka ho khetheha ho khetholla mekhoa le likarolo tsa ho kenya letsoho, ho etsa hore e be molemo ka ho khetheha bakeng sa mesebetsi ea ho lemoha litšoantšo le livideo. 