<prompt> Hlalosa hore na marang-rang a convolutional neural ke afe.nan  <response>: Instruction in English: Explain what are convolutional neural networks. . Response in English: Convolutional neural networks, or CNNs, are a subset of neural networks designed specifically for processing complex data formats, such as images or videos. They are widely used in image recognition and classification tasks, being key players in advances in computer vision.At a high level, a convolutional neural network can be thought of as consisting of two main parts: feature extraction and classification. During the feature extraction process, several convolutional layers apply filters also known as kernels to the input data to transform it into a set of feature maps. These filters help to extract relevant features and characteristics from the data, identifying patterns such as edges, corners, and objects. The number and size of these filters can vary, often increasing as the data progresses through the layers towards the end of the network.After feature extraction, classification comes into play. This is typically implemented using a set of fully connected layers which take the output of the convolutional layers and feed them through a traditional neural network. The final layer is a softmax activation function which provides the networks output, representing the probabilities of each class or category.In summary, Convolutional Neural Networks are a specialized type of neural network that is particularly well suited for handling complex multimedia data. They work by breaking down input data into locally correlated chunks, then detecting important features, before classifying the data into various categories. . Response in Sesotho: Convolutional neural networks, kapa CNNs, ke karoloana ea marang-rang a neural a etselitsoeng ka kotloloho ho sebetsana le liforomo tse rarahaneng tsa data, joalo ka litšoantšo kapa livideo. Li sebelisoa haholo mesebetsing ea ho lemoha le ho arola litšoantšo, ho ba libapali tsa bohlokoa tsoelopeleng ea pono ea khomphutha. Boemong bo phahameng, marang-rang a convolutional neural a ka nahanoa a na le likarolo tse peli tse kholo: ho ntšoa ha likarolo le ho hlopha. Nakong ea tsebetso ea tsebetso, likarolo tse maloa tsa convolutional li sebelisa li-filters tse tsejoang hape e le li-kernels ho data e kentsoeng ho e fetolela ho sete ea limmapa tsa likarolo. Li-filters tsena li thusa ho ntša likarolo le litšoaneleho tse amehang ho data, ho tsebahatsa lipaterone joalo ka methati, likhutlo le lintho. Nomoro le boholo ba li-filters tsena li ka fapana, hangata li eketseha ha data e ntse e tsoela pele ka lihlopha ho ea qetellong ea marang-rang. Ka mora ho tlosoa ha likarolo, lihlopha li qala ho sebetsa. Hangata sena se sebelisoa ho sebelisoa lihlopha tse hokahaneng ka botlalo tse nkang tlhahiso ea li-convolutional layers ebe li li fepa ka netweke ea neural ea setso. Karolo ea ho qetela ke tsebetso ea tsebetso ea softmax e fanang ka tlhahiso ea marang-rang, e emelang menyetla ea sehlopha ka seng kapa sehlopha. Ka kakaretso, Convolutional Neural Networks ke mofuta o ikhethileng oa marang-rang a marang-rang a loketseng haholo ho sebetsana le data e rarahaneng ea multimedia. Ba sebetsa ka ho arola lintlha tse kentsoeng ka hara likarolo tse amanang le lehae, ebe ba fumana likarolo tsa bohlokoa, pele ba arola lintlha ka mekhahlelo e fapaneng. 