<prompt> Fana ka mohlala oa algorithm ea neural network ea maiketsetso.nan  <response>: Instruction in English: Give an example of an artificial neural network algorithm. . Response in English: One example of an artificial neural network algorithm is the backpropagation algorithm. This is a supervised learning algorithm used for training multi-layer neural networks, especially feedforward neural networks. The main goal of this algorithm is to minimize the difference between the predicted output and the actual output by adjusting the connection weights between the neurons.The algorithm consists of two main phases: a forward pass and a backward pass. In the forward pass, the input is fed into the network, and its effect propagates through the layers until the output is generated. The output is then compared with the expected output, and the error is calculated.In the backward pass, the error is propagated back through the network, and the connection weights are updated using gradient descent. This process is repeated for multiple iterations until the network converges to an acceptable level of accuracy.Backpropagation is widely used in various applications such as image recognition, speech recognition, and natural language processing. However, it requires a large amount of training data and computational resources, and the training process can be slow. . Response in Sesotho: Mohlala o mong oa algorithm ea neural network ea maiketsetso ke algorithm ea backpropagation. Ena ke algorithm ea ho ithuta e hlokometsoeng e sebelisetsoang ho koetlisa marang-rang a li-multi-layer neural, haholo-holo li-feedforward neural network. Sepheo se seholo sa algorithm ena ke ho fokotsa phapang pakeng tsa tlhahiso e boletsoeng esale pele le tlhahiso ea sebele ka ho lokisa boima ba khokahanyo pakeng tsa li-neurons. Algorithm e na le mekhahlelo e meli e meholo: ho fetela pele le ho khutlela morao. Nakong ea ho fetela pele, ho kenngoa ho kenngoa ka marang-rang, me phello ea eona e ata ka lihlopha ho fihlela tlhahiso e hlahisoa. Joale sephetho se bapisoa le se lebelletsoeng, ebe phoso e baloa. Ka lehlakoreng le ka morao, phoso e fetisoa morao ka marang-rang, me litekanyo tsa khokahanyo li nchafatsoa ho sebelisoa ho theoha ha gradient. Tsebetso ena e phetoa ka makhetlo a mangata ho fihlela marang-rang a fetoha ho ea boemong bo amohelehang ba ho nepahala. Phatlalatso ea morao-rao e sebelisoa haholo litsebetsong tse fapaneng joalo ka temoho ea litšoantšo, temoho ea puo, le tsebetso ea puo ea tlhaho. Leha ho le joalo, e hloka palo e kholo ea lintlha tsa koetliso le lisebelisoa tsa computational, me mokhoa oa koetliso o ka lieha. 