<prompt> Hlalosa hore na thuto e tebileng e bolelangnan  <response>: Instruction in English: Explain what deep learning means . Response in English: Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brainalbeit far from matching its abilityallowing it to learn from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.Deep learning drives many artificial intelligence AI applications and services that improve automation, performing analytical and physical tasks without human intervention. Deep learning technology lies behind everyday products and services such as digital assistants, voice-enabled TV remotes, and credit card fraud detection as well as emerging technologies such as self-driving cars.Deep learning neural networks are trained using large amounts of data and algorithms. Once trained, these neural networks can then make decisions on new data, and their multi-layer architecture allows them to make increasingly accurate predictions as more data is fed into them. Most importantly, these predictions can be made without requiring human-designed rules specifying what to look for in the data, allowing deep learning methods to make accurate predictions using datasets where it is difficult to design such rules. . Response in Sesotho: Ho ithuta ho tebileng ke karoloana ea ho ithuta ka mochini, eo ha e le hantle e leng marang-rang a methapo e nang le likarolo tse tharo kapa ho feta. Marang-rang ana a methapo ea kutlo a leka ho etsisa boitšoaro ba boko ba mothole hoja bo le hōle le ho lumellana le bokhoni ba bonaho bo lumella ho ithuta boitsebisong bo bongata. Le hoja marang-rang a neural a nang le lera le le leng a ntse a ka etsa likhakanyo tse hakanyetsoang, likarolo tse ling tse patiloeng li ka thusa ho ntlafatsa le ho ntlafatsa bakeng sa ho nepahala. Ho ithuta ho tebileng ho tsamaisa litsebetso le litsebeletso tse ngata tsa bohlale ba maiketsetso AI tse ntlafatsang li-automation, ho etsa mesebetsi ea tlhahlobo le ea mele ntle le ho kenella ha motho. Theknoloji ea ho ithuta ka botebo e itšetlehile ka lihlahisoa le litšebeletso tsa letsatsi le letsatsi tse kang lisebelisuoa tsa digital, li-remoutu tsa TV tse sebelisoang ke lentsoe, le ho lemoha bomenemene ka likarete tsa mokoloto hammoho le mahlale a hlahang joalo ka likoloi tse itsamaisang. Li-neural network tsa ho ithuta ka botebo li koetlisetsoa ho sebelisa lintlha tse ngata le li-algorithms. Ha li se li koetlisitsoe, marang-rang ana a neural a ka etsa liqeto mabapi le data e ncha, me meralo ea bona e nang le mekhahlelo e mengata e ba lumella ho etsa likhakanyo tse nepahetseng le ho feta ha data e ntse e kenngoa ho bona. Habohlokoa ka ho fetisisa, likhakanyo tsena li ka etsoa ntle le ho hloka melao e entsoeng ke batho e hlalosang seo u lokelang ho se sheba boitsebisong, ho lumella mekhoa e tebileng ea ho ithuta ho etsa likhakanyo tse nepahetseng ho sebelisa li-dataset moo ho leng thata ho etsa melao e joalo. 