<prompt> Hlalosa mofuta oa meralo ea neural network ea maiketsetso e sebelisitsoeng ho alphaGo Zero algorithm.nan  <response>: Instruction in English: Describe the kind of artificial neural network architecture that was used in the AlphaGo Zero algorithm. . Response in English: The neural network architecture that was used in AlphaGo Zero algorithm is known as a deep neural network with residual connections. It consists of multiple convolutional layers with batch normalization and rectified linear unit ReLU activations, followed by a final layer with a linear output for the policy and a tanh output for the value of the board position. The residual connections allow the network to train on deep layers and mitigate the problem of vanishing gradients. The neural network is trained using reinforcement learning, with the outcomes of self-play games between the current version of the network and a previously trained one being used to update the network parameters. The AlphaGo Zero algorithm improved upon its predecessor, the original AlphaGo, by eliminating the need for hand-engineered features or prior knowledge of the game, relying solely on raw board position input and the self-play training. . Response in Sesotho: Moralo oa neural network o neng o sebelisoa ho AlphaGo Zero algorithm e tsejoa e le neural network e tebileng e nang le likhokahano tse setseng. E na le mekhahlelo e mengata ea convolutional e nang le batch normalization le tsebetso e lokiselitsoeng ea linear unit ReLU, e lateloa ke lesela la ho qetela le nang le tlhahiso ea linear bakeng sa pholisi le tlhahiso ea tanh bakeng sa boleng ba boemo ba boto. Likhokahano tse setseng li lumella marang-rang ho ikoetlisa ka mekhahlelo e tebileng le ho fokotsa bothata ba li-gradients tse nyamelang. Marang-rang a marang-rang a koetliselitsoe ho sebelisa thuto ea ho matlafatsa, ka liphello tsa lipapali tsa ho iketsetsa lipapali pakeng tsa phetolelo ea morao-rao ea marang-rang le ea neng a koetlisitsoe pele e sebelisoa ho ntlafatsa mekhoa ea marang-rang. AlphaGo Zero algorithm e ntlafalitse holima pele ho eona, AlphaGo ea mantlha, ka ho felisa tlhoko ea likarolo tse entsoeng ka letsoho kapa tsebo ea pele ea papali, e itšetlehile feela ka ho kenya letsoho ka boto e tala le koetliso ea ho bapala. 