<prompt> Akaretsa ka mantsoe a 120 lintlha tsa bohlokoa tse tšohliloeng sehloohong sena  <response>: Instruction in English: Summarize in 120 words the key concepts discussed in this article . Response in English: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to learn and make predictions or decisions. These networks can learn unsupervised from unstructured or unlabeled data and supervised where the data is labeled. Deep learning has been used in various fields, including natural language processing, speech recognition, image recognition, social network filtering, and drug design. The deep learning architecture can consist of many layers, hence the name deep, that can learn and model high-level abstractions in data. This technique can be used to find intricate patterns in large datasets, and with the availability of large amounts of data and computational power, deep learning has shown to outperform traditional machine learning algorithms. . Response in Sesotho: Ho ithuta ka botebo ke karoloana ea ho ithuta ka mochini e sebelisang marang-rang a maiketsetso a nang le likarolo tse ngata ho ithuta le ho etsa likhakanyo kapa liqeto. Marang-rang ana a ka ithuta a sa hlokomeloe ho tsoa ho data e sa hlophisoang kapa e sa ngolisoang le ho hlokomeloa moo data e ngoliloeng teng. Thuto e tebileng e nile ea sebelisoa mafapheng a fapa-fapaneng, a kenyeletsang ho sebetsana le puo ea tlhaho, temoho ea puo, ho lemoha litšoantšo, ho sefa marang-rang a sechaba, le moralo oa lithethefatsi. Mehaho e tebileng ea ho ithuta e ka ba le likarolo tse ngata, ke ka hona lebitso tebileng, le ka ithutang le ho etsa mohlala oa likhakanyo tse phahameng tsa data. Mokhoa ona o ka sebelisoa ho fumana mekhoa e rarahaneng ka hara li-dataset tse kholo, me ka ho fumaneha ha lintlha tse ngata le matla a ho kopanya, thuto e tebileng e bontšitse ho feta mekhoa e tloaelehileng ea ho ithuta mochine. 