<prompt> Hlalosa hore na matlakala a patiloeng a sebelisetsoa eng.nan  <response>: Instruction in English: Explain what hidden layers are used for. . Response in English: Hidden layers are used in Artificial Neural Networks to process and transform the input data to extract complex, abstract and non-linear features that can help to solve the problem at hand. These layers consist of a series of nodes or artificial neurons, organized in one or multiple layers, between the input layer and the output layer.Each hidden layer neuron receives weighted inputs, sums them up and applies an activation function to produce an output. This output is then passed as input to the neurons in the subsequent hidden layer or the output layer, if it is the final hidden layer. During training, the weights of the connections between neurons are adjusted to minimize the difference between the predicted output and the actual output.Hidden layers allow the neural network to create and learn multiple levels of abstraction, gradually refining the representation of the input data and improving the accuracy of the predictions. They essentially serve as a container for the learned knowledge of the neural network, encapsulating the relationships and patterns it has identified in the data.The number of hidden layers and the number of neurons in each layer is problem-specific and can significantly impact the performance of the neural network, so finding the optimal architecture is an important part of training and designing a neural network. . Response in Sesotho: Likarolo tse patiloeng li sebelisoa ho Artificial Neural Networks ho sebetsana le ho fetola lintlha tsa ho kenya letsoho ho ntša likarolo tse rarahaneng, tse sa bonahaleng le tse se nang moeli tse ka thusang ho rarolla bothata bo teng. Likarolo tsena li na le letoto la li-node kapa li-neurone tsa maiketsetso, tse hlophisitsoeng ka lera le le leng kapa tse ngata, pakeng tsa lera la ho kenya letsoho le karolo ea tlhahiso. Neuron e ngoe le e ngoe e patiloeng e fumana lintlha tse boima, e li akaretsa ebe e sebelisa tsebetso ea tsebetso ho hlahisa tlhahiso. Sehlahisoa sena se fetisetsoa ho li-neurone sebakeng se latelang se patiloeng kapa sekhahla sa tlhahiso, haeba e le lera la ho qetela le patiloeng. Nakong ea koetliso, litekanyo tsa likhokahano lipakeng tsa li-neurone lia fetoloa ho fokotsa phapang lipakeng tsa sephetho se boletsoeng esale pele le tlhahiso ea nete. Likarolo tse patiloeng li lumella marang-rang a methapo ea kutlo ho theha le ho ithuta maemo a mangata a ho ikhula, butle-butle a ntlafatsa boemeli ba lintlha tse kentsoeng le ho ntlafatsa ho nepahala ha likhakanyo. Ha e le hantle li sebetsa e le setsoantso sa tsebo e ithutoang ea marang-rang a neural, a kenyelletsang likamano le lipaterone tseo e li khethileng ho data. Palo ea lihlopha tse patehileng le palo ea li-neurone karolong e ngoe le e ngoe e na le bothata bo itseng me e ka ama haholo tsebetso ea marang-rang a marang-rang, kahoo ho fumana mohaho o nepahetseng ke karolo ea bohlokoa ea koetliso le ho theha marang-rang a marang-rang. 