<prompt> Hokela netweke ea maiketsetso ea neural le netweke ea convolutional neural.nan  <response>: Instruction in English: Connect an artificial neural network with a convolutional neural network. . Response in English: An artificial neural network ANN is a computational system inspired by the structure and function of biological neural networks, designed to learn patterns from data. One of the most common types of ANNs used in image and video processing is the Convolutional Neural Network CNN, which is a type of ANN optimized for processing grid-like data such as images.CNNs are a subtype of ANNs that share many characteristics, but have additional specialized layers that are particularly good at detecting patterns in images. To connect an ANN with a CNN, you could use a hybrid architecture where data is first processed by the CNN layers and then fed into the regular neural network layers.In general, the CNN will handle the initial data processing and feature extraction. The CNNs convolutional layers will scan the input data for local patterns and features, creating a condensed representation of the image. This representation is then fed into the fully connected layers of the ANN, where the patterns are combined and processed to make a prediction or classification.This hybrid approach can be very effective when working with image or video data, as the CNN extracts relevant features from the input while the ANN uses them to make informed decisions or predictions. By connecting an ANN with a CNN, you create a powerful tool that can handle the nuances of image processing while still taking advantage of the flexibility and decision-making capabilities of a traditional neural network. . Response in Sesotho: Artificial neural network ANN ke mokhoa oa computational o susumetsoang ke sebopeho le tsebetso ea marang-rang a bioloji, a etselitsoeng ho ithuta mekhoa ho tsoa ho data. E ngoe ea mefuta e tsebahalang haholo ea li-ANN tse sebelisoang ha ho etsoa litšoantšo le livideo ke Convolutional Neural Network CNN, e leng mofuta oa ANN o ntlafalitsoeng bakeng sa ho sebetsana le data e kang grid joalo ka litšoantšo. Li-CNN ke mofuta o monyane oa li-ANN tse arolelanang litšobotsi tse ngata, empa li na le likarolo tse ikhethang tse sebetsang hantle haholo ho lemoha mekhoa ea litšoantšo. Ho hokela ANN le CNN, o ka sebelisa meralo e nyalisitsoeng moo data e sebetsoang pele ke likarolo tsa CNN ebe e kenngoa ka hara li-neural network tse tloaelehileng. Ka kakaretso, CNN e tla sebetsana le tsebetso ea data ea pele le ho ntša likarolo. The CNNs convolutional layers e tla hlahloba lintlha tse kentsoeng bakeng sa lipaterone le likarolo tsa lehae, ho theha setšoantšo se khutsufalitsoeng sa setšoantšo. Kemedi ena e feptjwa ka dikarolong tse hokahaneng ka botlalo tsa ANN, moo dipaterone di kopanngwang le ho sebetswa ho etsa ponelopele kapa ho hlopha. Mokhoa ona oa lebasetere o ka sebetsa haholo ha o sebetsa ka data ea setšoantšo kapa ea video, kaha CNN e qotsa likarolo tse amehang ho tsoa ho kenyelletso ha ANN e li sebelisa ho etsa liqeto tse nepahetseng kapa likhakanyo. Ka ho hokela ANN le CNN, o etsa sesebelisoa se matla se ka sebetsanang le maemo a fapaneng a tsebetso ea litšoantšo ha o ntse o nka monyetla oa ho feto-fetoha ha maemo le bokhoni ba ho etsa liqeto tsa marang-rang a neural a setso. 