<prompt> Fana ka tlhaloso ea netweke ea convolutional neuralnan  <response>: Instruction in English: Give a definition of a convolutional neural network . Response in English: A convolutional neural network CNN is a type of artificial neural network commonly used in image and video recognition tasks. It is designed to take in input data in the form of images and process them through multiple layers, each of which applies a different set of filters to the data and passes its output to the next layer. In a typical CNN architecture, the first layer consists of convolutional filters that learn to detect low-level features in the input image, such as edges and corners, by sliding over the image and applying a mathematical operation at each position. The output of the convolution is then passed through a non-linear activation function, and often downsampled using a pooling operation that helps to reduce the dimensionality of the data. As the data progresses through the layers of the CNN, the filters learn to detect more complex features and patterns. The final layers of the network typically consist of fully connected layers that are used to classify the image based on the extracted features. One of the key advantages of a CNN is its ability to learn features directly from the raw input data, eliminating the need for manual feature engineering. This makes it particularly well-suited for tasks such as image recognition, where the features that are important for accurate classification can be difficult to define manually. . Response in Sesotho: Convolutional neural network CNN ke mofuta oa neural network ea maiketsetso e sebelisoang hangata mesebetsing ea ho lemoha litšoantšo le livideo. E etselitsoe ho nka lintlha tsa ho kenya ka mokhoa oa litšoantšo le ho li sebetsana ka mekhahlelo e mengata, e ngoe le e ngoe e sebelisa lihlopha tse fapaneng tsa li-filters ho data ebe e fetisetsa tlhahiso ea eona ho lera le latelang. Moahong o tloaelehileng oa CNN, karolo ea pele e na le lihloela tsa convolutional tse ithutang ho bona likarolo tsa boemo bo tlase setšoantšong se kentsoeng, joalo ka mathōko le likhutlo, ka ho thella holima setšoantšo le ho sebelisa tsebetso ea lipalo sebakeng se seng le se seng. Sephetho sa convolution se fetisoa ka tsebetso ea tsebetso e sa lekanyetsoang, me hangata e theoleloa ka tlase ho sebelisoa tsebetso ea ho kopanya e thusang ho fokotsa boholo ba data. Ha data e ntse e tsoela pele ka likarolo tsa CNN, li-filters li ithuta ho lemoha likarolo le mekhoa e rarahaneng haholoanyane. Likarolo tsa ho qetela tsa marang-rang hangata li na le lihlopha tse kopantsoeng ka ho feletseng tse sebelisetsoang ho arola setšoantšo ho latela likarolo tse nkiloeng. E ngoe ea melemo ea bohlokoa ea CNN ke bokhoni ba eona ba ho ithuta likarolo ka kotloloho ho tsoa ho data e kentsoeng, ho felisa tlhoko ea boenjiniere ba likarolo tsa matsoho. Sena se etsa hore e tšoanelehe hantle bakeng sa mesebetsi e kang temoho ea litšoantšo, moo likarolo tse bohlokoa bakeng sa ho arola ka nepo ho ka bang thata ho li hlalosa ka letsoho. 