<prompt> Etsa ponelo-pele mabapi le bokamoso ba thuto e tebileng ho latela lintlha tse fanoeng sehloohong senaLilemong tse maloa tse fetileng ho bone ho phahama ho makatsang ha botumo ba thuto e tebileng. E susumetsoa haholo ke katleho ea marang-rang a maiketsetso a methapo, thuto e tebileng e bile motheo oa tsoelo-pele e tsotehang ka ho fetisisa ea saense ea likhomphieutha morao tjena. Likhatelo-pele tse kang likoloi tse itsamaisang le ho lemoha sefahleho ke feela phello ea matla a thuto e tebileng.  <response>: Instruction in English: Make a prediction about the future of deep learning based on the information presented in this article . Response in English: Based on the information presented, it seems likely that deep learning will continue to be a prominent field in computer science and drive further advancements in the future. The success of artificial neural networks and their applications in breakthroughs such as self-driving cars and facial recognition indicate that this technology has great potential to further revolutionize numerous industries. As research continues and more advancements are made, deep learning is poised to play an even more significant role in shaping the technological landscape. . Response in Sesotho: Ho ipapisitsoe le tlhaiso-leseling e fanoeng, ho bonahala eka thuto e tebileng e tla tsoela pele ho ba sebaka se hlahelletseng sa mahlale a khomphutha le ho tsamaisa tsoelo-pele e eketsehileng nakong e tlang. Katleho ea marang-rang a maiketsetso a methapo ea kutlo le tsebeliso ea ona tsebetsong e kang likoloi tse itsamaisang le ho lemoha sefahleho li bontsa hore theknoloji ena e na le monyetla o moholo oa ho ntlafatsa liindasteri tse ngata. Ha lipatlisiso li ntse li tsoela pele me tsoelo-pele e ntse e tsoela pele, thuto e tebileng e mothating oa ho bapala karolo ea bohlokoa le ho feta ho bopeng maemo a theknoloji. 