<prompt> Bolela mefuta e meraro e fapaneng ea marang-rang a neural.nan  <response>: Instruction in English: Name three different types of neural networks. . Response in English: Three different types of neural networks are:1. Feedforward Neural Networks: This type of network is composed of multiple layers of interconnected nodes and works by processing information from the input layer through the hidden layers until it reaches the output layer. The connections between nodes do not form a cycle.2. Recurrent Neural Networks RNN: This type of network is composed of neurons that have loops, allowing information to persist over time. This makes them well-suited for applications like natural language processing and speech recognition, where context is important.3. Convolutional Neural Networks CNN: This type of network is primarily used in image recognition and classification. It contains multiple layers, including convolutional layers that use filters to extract features from the input, and pooling layers that reduce the dimensionality of the data. . Response in Sesotho: Mefuta e meraro e fapaneng ea marang-rang a marang-rang ke: 1. Feedforward Neural Networks: Mofuta ona oa marang-rang o entsoe ka likarolo tse ngata tsa li-node tse hokahaneng me o sebetsa ka ho sebetsana le tlhahisoleseding e tsoang ho lera la ho kenya letsoho ka lihlopha tse patiloeng ho fihlela li fihla lera la tlhahiso. Likamano pakeng tsa nodes ha li etse potoloho. 2. Li-Recurrent Neural Networks RNN: Mofuta ona oa marang-rang o entsoe ka li-neuron tse nang le li-loops, tse lumellang boitsebiso hore bo tsoele pele ka nako. Sena se etsa hore li tšoanelehe bakeng sa litsebetso tse kang tsebetso ea puo ea tlhaho le temoho ea puo, moo moelelo oa litaba o leng bohlokoa. 3. Convolutional Neural Networks CNN: Mofuta ona oa marang-rang o sebelisoa haholo-holo ho lemoha litšoantšo le ho arola. E na le matlalo a mangata, ho kenyeletsoa le li-convolutional layers tse sebelisang li-filters ho ntša likarolo tse kentsoeng, le likarolo tse kopanyang tse fokotsang boholo ba data. 