<prompt> Etsa lethathamo la li-parameter tsa tlhophiso le boleng ba tsona ba kamehla bakeng sa mofuta ona o khethehileng.Mohlala: Mohlala oa ho Ithuta ka botebo  <response>: Instruction in English: Create a list of configuration parameters and their default values for this specific model. . Response in English: Here is a list of configuration parameters and their default values for a deep learning model: 1. Learning rate: 0.001 - this is the step size the model takes in updating the model parameters during training.2. Batch size: 32 - this is the number of examples used in one iteration of model training.3. Number of layers: 2 - the number of layers in the model.4. Number of nodes per layer: 128 - the number of nodes in each layer of the model.5. Activation function: ReLU Rectified Linear Unit - the function used to calculate the output of each node in the model.6. Loss function: Categorical Cross-Entropy - the function used to measure the error of the model during training.7. Momentum: 0.9 - the parameter that accelerates gradient descent in the relevant direction to prevent oscillations.8. Weight initialization: Glorot uniform - the method used to initialize the weights of the model before training.9. Epochs: 100 - the number of times the entire dataset is passed through the model during training.10. Regularization: None - the method used to prevent overfitting by adding a penalty to the loss function. . Response in Sesotho: Mona ke lethathamo la li-parameter tsa tlhophiso le litekanyetso tsa bona tsa kamehla bakeng sa mohlala o tebileng oa ho ithuta: 1. Sekhahla sa ho ithuta: 0.001 - ena ke tekanyo ea mehato eo mohlala o e nkang ho ntlafatsa mekhoa ea mohlala nakong ea koetliso. 2. Boholo ba sehlopha: 32 - ena ke palo ea mehlala e sebelisoang ho pheta-pheta e le ngoe ea koetliso ea mohlala. 3. Palo ea lihlopha: 2 - palo ea lihlopha tsa mohlala. 4. Palo ea li-node ka lera: 128 - palo ea li-node karolong e ngoe le e ngoe ea mohlala. 5. Tsebetso ea tsebetso: ReLU Rectified Linear Unit - mosebetsi o sebelisetsoang ho bala tlhahiso ea node ka ngoe ea mohlala. 6. Mosebetsi oa tahlehelo: Categorical Cross-Entropy - mosebetsi o sebelisoang ho lekanya phoso ea mohlala nakong ea koetliso. 7. Momentum: 0.9 - parameter e potlakisang ho theoha ha gradient ka tsela e nepahetseng ho thibela ho oscillations. 8. Boima ba ho qala: Seaparo sa Glorot - mokhoa o sebelisoang ho qalisa boima ba mohlala pele ho koetliso. 9. Epochs: 100 - palo ea makhetlo ao dataset eohle e fetisitsoeng ka eona ka mohlala nakong ea koetliso. 10. Regularization: Ha ho letho - mokhoa o sebelisoang ho thibela ho feta tekano ka ho eketsa kotlo mosebetsing oa tahlehelo. 