<prompt> Hlalosa hore na relu activation function ke eng,nan  <response>: Instruction in English: Explain what is a relu activation function, . Response in English: ReLU, or Rectified Linear Unit, is a type of activation function commonly used in artificial neural networks. This function takes an input value and returns it unchanged if it is positive or greater than zero, otherwise returns a value of zero. Mathematically, it can be defined as fx max0, x, where x is the input to the function. The purpose of using this function is to introduce nonlinearity into the output of a neuron, allowing the neural network to model more complex data and relationships. This function is relatively simple to compute and tends to produce faster results in training, making it a popular choice in many deep learning architectures. . Response in Sesotho: ReLU, kapa Rectified Linear Unit, ke mofuta oa tsebetso ea tsebetso e sebelisoang hangata ho marang-rang a maiketsetso. Tsebetso ena e nka palo e kentsoeng ebe e e khutlisa e sa fetoha haeba e le ntle kapa e kholo ho feta lefela, ho seng joalo e khutlisa boleng ba lefela. Ka lipalo, e ka hlalosoa e le fx max0, x, moo x e leng kenyelletso ea tšebetso. Sepheo sa ho sebelisa tsebetso ena ke ho hlahisa ho se lumellane ho hlahisoang ke neuron, ho lumella marang-rang a marang-rang ho etsa mohlala oa data le likamano tse rarahaneng haholoanyane. Tsebetso ena e batla e le bonolo ho e bala me e atisa ho hlahisa litholoana tse potlakileng koetlisong, e leng se etsang hore e be khetho e tsebahalang meahong e mengata e tebileng ea ho ithuta. 