<prompt> Hlalosa lentsoe convolutional neural networks.nan  <response>: Instruction in English: Explain the term convolutional neural networks. . Response in English: Convolutional neural networks CNNs are a type of neural network commonly used for image recognition and analysis. Named after their use of a mathematical operation called convolution, they have a unique architecture designed to take advantage of the 2D structure of image data. In a CNN, the input image is fed through a series of layers, with each layer extracting different features from the image. The first layers detect basic features such as edges and corners, while deeper layers identify more complex patterns such as objects or shapes. The use of convolution allows the network to identify these features regardless of their location within the image, making the network translation-invariant. CNNs also incorporate pooling layers, which reduce the spatial size of the data, helping to improve computation efficiency and reduce overfitting. CNNs have proved extremely successful in many computer vision tasks, including image classification, object detection, and facial recognition. They are also widely used in other types of data, such as audio and text, where the data has a similar grid-like format. . Response in Sesotho: Convolutional neural networks CNNs ke mofuta oa marang-rang a neural a atisang ho sebelisoa bakeng sa ho lemoha le ho hlahloba litšoantšo. E rehelletsoe ka mora tsebetso ea lipalo e bitsoang convolution, e na le meralo e ikhethang e etselitsoeng ho nka monyetla ka sebopeho sa 2D sa data ea litšoantšo. Ho CNN, setšoantšo se kenyang se feptjoa ka letoto la likarolo, me karolo e ngoe le e ngoe e ntša likarolo tse fapaneng setšoantšong. Mekhahlelo ea pele e lemoha likarolo tsa mantlha joalo ka metsepe le likhutlong, ha matlalo a tebileng a supa mekhoa e rarahaneng joalo ka lintho kapa libopeho. Tšebeliso ea convolution e lumella marang-rang ho khetholla likarolo tsena ho sa tsotellehe sebaka sa tsona ka hara setšoantšo, ho etsa hore phetolelo ea marang-rang e se ke ea fetoha. Li-CNN li boetse li kenyelletsa likarolo tsa ho kopanya, tse fokotsang boholo ba sebaka sa data, ho thusa ho ntlafatsa bokhoni ba ho bala le ho fokotsa ho feta. Li-CNN li ipakile li atlehile haholo mesebetsing e mengata ea pono ea khomphutha, ho kenyelletsa ho hlophisa litšoantšo, ho lemoha lintho, le ho lemoha sefahleho. Li boetse li sebelisoa haholo mefuteng e meng ea data, joalo ka molumo le mongolo, moo data e nang le sebopeho se tšoanang le grid. 