<prompt> Likarolo tse tharo tsa mantlha tsa netweke ea methapo ke life?nan  <response>: Instruction in English: What are the three main layers of a neural network? . Response in English: The three main layers of a neural network are the input layer, the hidden layers, and the output layer. 1. Input Layer: The input layer is the first layer of a neural network, responsible for receiving and processing input data. This layer is composed of multiple input nodes that correspond to the different features of the input data. 2. Hidden Layers: The hidden layers are intermediate layers between the input and output layers. These layers perform computations and use activation functions to introduce non-linearity into the model, allowing it to learn complex relationships between the input and output data. A neural network can have multiple hidden layers.3. Output Layer: The output layer is the last layer of a neural network, responsible for producing the final output or prediction. The number of output nodes in this layer depends on the type of problem being solved - for example, in a binary classification problem, there would typically be one output node, while in a multi-class classification problem, there would be one output node for each class. . Response in Sesotho: Likarolo tse tharo tse kholo tsa marang-rang a methapo ea kutlo ke lera le kenyang, lera likarolo le patiloeng, le karolo e hlahisoang. 1. Lera la ho Kena: Lera la ho kenya ke karolo ea pele ea netweke ea methapo, e ikarabellang bakeng sa ho amohela le ho sebetsana le data ea ho kenya. Lera lena le entsoe ka li-node tse ngata tsa ho kenya tse lumellanang le likarolo tse fapaneng tsa data ea ho kenya. 2. Lera ma Le patiloeng: Leralikarolo le patiloeng ke mekhahlelo e mahareng lipakeng tsa tse kenang le tse hlahisoang. Likarolo tsena li etsa lipalo le ho sebelisa tsebetso ea ho kenya tsebetsong ho hlahisa ho se lumellane ho latela mohlala, ho e lumella ho ithuta likamano tse rarahaneng pakeng tsa lintlha tse kenang le tse hlahisoang. Neural network e ka ba le likarolo tse ngata tse patiloeng. 3. Lera la Output: Lera la tlhahiso ke lera la ho qetela la netweke ea methapo, e ikarabellang bakeng sa ho hlahisa tlhahiso ea ho qetela kapa ho bolela esale pele. Palo ea li-node tse hlahisoang karolong ena e ipapisitse le mofuta oa bothata bo rarolloang - mohlala, bothateng ba likaroloana tsa binary, hangata ho ne ho tla ba le node e le ngoe ea tlhahiso, athe bothateng ba mekhahlelo e mengata, ho tla ba le node e le ngoe ea tlhahiso. sehlopha ka seng. 