<prompt> Hlalosa sepheo sa Thuto e Tebileng.nan  <response>: Instruction in English: Explain the goal of Deep Learning. . Response in English: Deep learning is a subset and one of the most popular techniques in machine learning and artificial intelligence. The goal of deep learning is to model complex patterns and relationships in data using algorithms inspired by the structure and function of the brains neural networks. Deep learning algorithms seek to automatically learn multiple levels of representation and abstraction that help to make sense of data, such as images, sounds, and texts, by constructing multi-layered neural networks that can process the information. This allows the machine to classify, recognize, and generate predictions about previously unseen data without having to rely on explicit programming or human intervention. The ultimate goal of deep learning is to enable machines to learn and make decisions in a way that is similar to how humans learn and make decisions, improving their performance as more data becomes available. This technology is being used in a range of applications from speech and image recognition, natural language processing, computer vision, and predictive analytics, to improve the quality of products and services, as well as decision making in various industries. . Response in Sesotho: Ho ithuta ka botebo ke karoloana ebile ke e ngoe ea mekhoa e tsebahalang haholo ea ho ithuta ka mochini le bohlale ba maiketsetso. Sepheo sa thuto e tebileng ke ho etsa mohlala oa mekhoa e rarahaneng le likamano ho data ho sebelisa li-algorithms tse susumelitsoeng ke sebopeho le tsebetso ea marang-rang a boko. Li-algorithms tsa ho ithuta ka botebo li batla ho ithuta ka bo eona maemo a mangata a boemeli le ho fokotsa lintlha tse thusang ho utloisisa lintlha, joalo ka litšoantšo, melumo le litemana, ka ho theha marang-rang a marang-rang a mangata a ka sebetsanang le litaba. Sena se lumella mochini ho hlophisa, ho lemoha, le ho etsa likhakanyo mabapi le lintlha tse neng li sa bonoe ntle le ho itšetleha ka mananeo a hlakileng kapa ho kenella ha batho. Sepheo sa ho qetela sa thuto e tebileng ke ho nolofalletsa mechine ho ithuta le ho etsa liqeto ka tsela e tšoanang le kamoo batho ba ithutang kateng le ho etsa liqeto, ho ntlafatsa tsebetso ea bona ha boitsebiso bo bongata bo ntse bo fumaneha. Theknoloji ena e sebelisoa mefuteng e mengata ea litsebetso ho tloha ho temoho ea puo le litšoantšo, tsebetso ea puo ea tlhaho, pono ea khomphieutha, le li-analytics tsa ho bolela esale pele, ho ntlafatsa boleng ba lihlahisoa le litšebeletso, hammoho le ho etsa liqeto liindastering tse fapaneng. 