<prompt> Hlalosa tsoelo-pele ea thuto e tebileng.nan  <response>: Instruction in English: Describe the evolution of deep learning. . Response in English: Deep learning is a branch of artificial intelligence, specifically neural networks, that has its roots in the early days of computing. The evolution of deep learning can be traced back to the 1940s and the development of the first computer models of the brain, which were inspired by the work of Canadian psychologist Donald Hebb.In the 1960s, researchers developed the first neural network, the Perceptron, which is considered as the starting point of deep learning. Despite its initial success, the network had limitations, and research in neural networks declined until the 1980s.During the 1980s, researchers developed new techniques known as backpropagation, which allowed neural networks to learn from errors in their predictions. This breakthrough marked the beginning of a resurgence in neural network research, eventually leading to the emergence of deep learning in the 1990s.Subsequent developments in the field, including advances in natural language processing and computer vision, as well as improvements in hardware and processing power, paved the way for the adoption of deep learning in a variety of applications.In the early 2010s, deep learning achieved groundbreaking results in speech recognition, image recognition, and language translation, attracting the attention of tech companies and researchers alike. Since then, progress in the field has accelerated, with deep learning models achieving increasingly impressive results on a wide range of tasks.Overall, the evolution of deep learning has been characterized by decades of research, innovation, and breakthroughs, leading to its current status as a critically important tool in the field of artificial intelligence. . Response in Sesotho: Thuto e tebileng ke lekala la bohlale ba maiketsetso, haholo-holo marang-rang a neural, a qalileng matsatsing a pele a khomphieutha. Phetoho ea thuto e tebileng e ka qalisoa ho tloha lilemong tsa bo-1940 le ntsetsopele ea mekhoa ea pele ea likhomphieutha ea boko, e ileng ea bululeloa ke mosebetsi oa setsebi sa kelello sa Canada Donald Hebb. Lilemong tsa bo-1960, bafuputsi ba ile ba theha marang-rang a pele a neural, Perceptron, e nkoang e le qalo ea thuto e tebileng. Ho sa tsotellehe katleho ea eona ea pele, marang-rang a ne a e-na le mefokolo, me lipatlisiso tsa marang-rang a neural li ile tsa fokotseha ho fihlela lilemong tsa bo-1980. Lilemong tsa bo-1980, bafuputsi ba ile ba qapa mekhoa e mecha e tsejoang e le backpropagation, e ileng ea lumella marang-rang a neural ho ithuta ho tsoa liphosong tse boletsoeng esale pele. Katleho ena e ile ea tšoaea qaleho ea ho tsosolosoa ha lipatlisiso tsa marang-rang a marang-rang, e qetellang e lebisa ho hlaheng ha thuto e tebileng lilemong tsa bo-1990. Lintlafatso tse ileng tsa latela tšimong, ho kenyeletsoa tsoelo-pele ea tsebetso ea puo ea tlhaho le pono ea khomphieutha, hammoho le ntlafatso ea hardware le matla a ho sebetsa, li ile tsa bula tsela ea ho amoheloa ha thuto e tebileng ka mekhoa e sa tšoaneng. Mathoasong a lilemo tsa 2010, thuto e tebileng e ile ea finyella liphello tse matla tabeng ea ho tseba puo, ho lemoha litšoantšo, le ho fetolela puo, ho hohela tlhokomelo ea likhamphani tsa theknoloji le bafuputsi ka ho tšoanang. Ho tloha ka nako eo, tsoelo-pele tšimong e potlakile, ka mekhoa e tebileng ea ho ithuta e finyellang liphello tse tsotehang haholoanyane mesebetsing e mengata. Ka kakaretso, tsoelo-pele ea thuto e tebileng e nile ea khetholloa ke lilemo tse mashome tsa lipatlisiso, mekhoa e mecha, le tsoelo-pele, e lebisang boemong ba hona joale e le sesebelisoa sa bohlokoa haholo lefapheng la bohlale ba maiketsetso. 