<prompt> Hlalosa ka lipolelo tse maloa hore na metheo ea thuto e tebileng ke efe.nan  <response>: Instruction in English: Explain in a few sentences what the basics of deep learning are. . Response in English: Deep learning is a subset of machine learning that involves training artificial neural networks to learn from and make decisions based on large datasets. Deep learning models typically consist of multiple layers, each consisting of many interconnected nodes, and are designed to recognize increasingly abstract patterns as data passes through the layers. Successful usage of Deep Learning techniques requires large amounts of labeled data and substantial computing power. They are used in a variety of applications, including image and voice recognition, natural language processing, predictive analytics, and autonomous systems. . Response in Sesotho: Ho ithuta ka botebo ke karolo e nyane ea ho ithuta ka mochini e kenyelletsang ho koetlisa marang-rang a maiketsetso ho ithuta ho tsoa le ho etsa liqeto ho latela li-database tse kholo. Mehlala ea ho ithuta e tebileng hangata e na le mekhahlelo e mengata, e ngoe le e ngoe e na le li-node tse ngata tse hokahaneng, me li etselitsoe ho lemoha mekhoa e sa bonahaleng ha data e feta hara likarolo. Tšebeliso e atlehileng ea mekhoa e tebileng ea ho Ithuta e hloka lintlha tse ngata tse ngolisitsoeng le matla a mangata a khomphutha. Li sebelisoa mefuteng e fapaneng ea tsebeliso, ho kenyelletsa le ho tsebahatsa litšoantšo le lentsoe, tsebetso ea puo ea tlhaho, analytics ea pele, le litsamaiso tse ikemetseng. 