<prompt> Fana ka mantsoe a bohlokoa a 10 a amanang le marang-rang a neural.nan  <response>: Instruction in English: Provide 10 key terms related to neural networks. . Response in English: 1. Artificial Neuron: A mathematical function inspired by biological neurons.2. Activation function: A mathematical function that defines the output of a neuron based on its inputs.3. Feed-forward neural network: A type of artificial neural network where the connections between neurons do not form a loop.4. Backpropagation: Algorithm used to train neural networks by adjusting the weights and biases of the network via gradient descent.5. Loss Function: A function that compares the predicted output of a neural network to the actual output and measures the error.6. Gradient Descent: An optimization algorithm for adjusting weights and biases of a neural network based on the gradient of the loss function.7. Convolutional Neural Network: A type of neural network commonly used for image recognition, which makes use of convolutional layers that scan over the input data.8. Recurrent Neural Network: A type of artificial neural network where the connections between neurons form a loop, allowing them to process sequential data such as text or time series data.9. Deep Learning: A branch of machine learning that involves training artificial neural networks with many layers, allowing the network to learn increasingly complex features from the data.10. Overfitting: When a neural network has memorized the training data so closely that it performs poorly on new, unseen data. . Response in Sesotho: 1. Neuron ea Maiketsetso: Mosebetsi oa lipalo o bululetsoeng ke li-neurone tsa likokoana-hloko. 2. Tsebetso ea tsebetso: Tsebetso ea lipalo e hlalosang tlhahiso ea neuron ho ipapisitse le lintho tse kenang. 3. Feed-forward neural network: Mofuta oa marang-rang a maiketsetso moo likhokahano lipakeng tsa li-neuron li sa etse loop. 4. Backpropagation: Algorithm e sebelisetsoang ho koetlisa marang-rang a marang-rang ka ho lokisa boima le litšekamelo tsa marang-rang ka ho theoha ha gradient. 5. Mosebetsi oa Tahlehelo: Mosebetsi o bapisang tlhahiso e boletsoeng esale pele ea marang-rang a neural le tlhahiso ea sebele le ho lekanya phoso. 6. Ho theoha ha Gradient: Algorithm ea optimization bakeng sa ho lokisa boima le litšekamelo tsa marang-rang a marang-rang a thehiloeng holima gradient ea mosebetsi oa tahlehelo. 7. Convolutional Neural Network: Mofuta oa netweke ea methapo ea kutlo e atisang ho sebelisoa bakeng sa temoho ea litšoantšo, e sebelisang likhoele tsa convolutional tse skenang data e kentsoeng. 8. Recurrent Neural Network: Mofuta oa marang-rang a maiketsetso a maiketsetso moo likhokahano pakeng tsa li-neuron li etsa loop, e li lumellang ho sebetsana le data e latellanang joalo ka lintlha tsa mongolo kapa nako. 9. Thuto e Tebileng: Lekala la ho ithuta ka mochini le kenyelletsang ho koetlisa marang-rang a maiketsetso a methapo e nang le likarolo tse ngata, ho lumella marang-rang ho ithuta likarolo tse rarahaneng ho tsoa ho data. 10. Overfitting: Ha neural network e tšoere ka hlooho lintlha tsa koetliso haufi-ufi hoo e sebetsang hampe ho data e ncha, e sa bonahaleng. 