<prompt> Phapano ke efe lipakeng tsa Neural Network le mohlala oa ho Ithuta ka botebo?nan  <response>: Instruction in English: What is the difference between a Neural Network and a Deep Learning model? . Response in English: A Neural Network and a Deep Learning model are closely related concepts, as Deep Learning is a subfield of machine learning that relies on neural networks, but there are some key differences between them.A Neural Network is a type of machine learning model that is inspired by the structure and function of the human brain. It consists of layers of interconnected nodes, commonly referred to as neurons, that process information using their weighted connections and activation functions. The input is fed into the network and transformed by the neurons in the hidden layers before being output as a prediction.A Deep Learning model, on the other hand, refers to a type of Neural Network that has multiple layers, often referred to as deep neural networks or DNNs. These models are designed to learn and extract more abstract and high-level representations of data, allowing them to make more accurate predictions on complex problems. This is achieved through the use of multiple layers that allow the model to learn hierarchical representations.In summary, a Neural Network refers to a type of machine learning model, while Deep Learning refers to a specific subset of these models that are characterized by their use of multiple layers to learn abstract representations of data. While all Deep Learning models are Neural Networks, not all Neural Networks are Deep Learning models. . Response in Sesotho: Neural Network le Mohlala oa ho Ithuta ka botebo ke likhopolo tse amanang haufi-ufi, kaha Thuto e Tebileng ke karoloana ea thuto ea mochine e itšetlehileng ka marang-rang a methapo, empa ho na le phapang e ka sehloohong pakeng tsa bona. Neural Network ke mofuta oa mofuta oa ho ithuta oa mochini o susumetsoang ke sebopeho le tšebetso ea boko ba motho. E na le likarolo tsa li-node tse hokahaneng, tseo hangata li bitsoang li-neurone, tse sebetsanang le tlhahisoleseling li sebelisa likhokahano tsa tsona tse boima le tsebetso ea tsebetso. Kenyelletso e feptjoa marang-rang mme e fetotsoe ke li-neurone ka hara likarolo tse patiloeng pele e hlahisoa e le se boletsoeng esale pele. Mohlala oa ho Ithuta ka botebo, ka lehlakoreng le leng, o bua ka mofuta oa Neural Network o nang le mekhahlelo e mengata, eo hangata e bitsoang marang-rang a tebileng a methapo kapa DNNs. Mefuta ena e etselitsoe ho ithuta le ho ntša litšoantšo tse hlakileng le tse phahameng tsa data, ho li lumella ho etsa likhakanyo tse nepahetseng haholoanyane ka mathata a rarahaneng. Sena se finyelloa ka tšebeliso ea lihlopha tse ngata tse lumellang mohlala ho ithuta boemeli ba maemo a phahameng. Ka kakaretso, Neural Network e bua ka mofuta oa mofuta oa ho ithuta mochini, ha Deep Learning e bua ka karolo e itseng ea mefuta ena e khetholloang ka tšebeliso ea likarolo tse ngata ho ithuta liemeli tse sa bonahaleng tsa data. Leha mefuta eohle ea ho Ithuta e Tebileng e le Neural Networks, ha se kaofela Neural Networks e leng mehlala ea ho Ithuta ka botebo. 