<prompt> Ke phoso efe ea ho sebelisa marang-rang a tebileng a ho ithuta ho fumana ntho?nan  <response>: Instruction in English: What is a disadvantage of using a deep learning network to perform object detection? . Response in English: One disadvantage of using deep learning network for object detection is that these networks require a large amount of training data to accurately recognize and distinguish objects. This can be time consuming and resource intensive. Another disadvantage is that these deep learning networks can be complex and may require specialized hardware, such as GPUs, to train and run efficiently. Additionally, since deep learning models learn their features during training, it can be difficult to interpret and understand how the network makes its decisions, leading to a lack of transparency when compared to other methods, such as rule-based systems. Finally, deep learning networks can be sensitive to changes in input data, such that small variations not seen during training can lead to degraded performance. . Response in Sesotho: Bothata bo bong ba ho sebelisa marang-rang a tebileng a ho ithuta bakeng sa ho lemoha lintho ke hore marang-rang ana a hloka boitsebiso bo bongata ba koetliso ho lemoha le ho khetholla lintho ka nepo. Sena se ka nka nako mme sa nka lisebelisoa tse ngata. Phoso e ngoe ke hore marang-rang ana a tebileng a ho ithuta a ka rarahana me a ka hloka lisebelisoa tse khethehileng, joalo ka li-GPU, ho ikoetlisa le ho sebetsa hantle. Ho phaella moo, kaha mehlala ea ho ithuta e tebileng e ithuta likarolo tsa eona nakong ea koetliso, ho ka ba thata ho hlalosa le ho utloisisa hore na marang-rang a etsa liqeto joang, e leng se lebisang ho hlokeng pepeneneng ha ho bapisoa le mekhoa e meng, e kang mekhoa e thehiloeng melao. Qetellong, marang-rang a tebileng a ho ithuta a ka ba le maikutlo a mabe ho liphetoho tsa data ea ho kenya, joalo ka hore mefuta e sa tšoaneng e sa bonahaleng nakong ea koetliso e ka lebisa tsebetsong e senyehileng. 