<prompt> Theha mofuta oa AI ho hlophisa mefuta e fapaneng ea likoloi.nan  <response>: Instruction in English: Develop an AI model to classify different types of cars. . Response in English: Sure! To develop an AI model for classifying different types of cars we can use supervised machine learning techniques such as Convolutional Neural Networks CNN. Please follow the steps below:1. Collect or gather sufficient pictures of different types of cars, including sedans, sports cars, SUVs, and so on. Ensure the pictures are high-quality and of different sizes, angles, and lighting conditions.2. Preprocess the images by resizing, normalization, and augmenting the data. This makes the images ready for input into the model.3. Split the data into training, validation, and test sets to evaluate the model while training.4. Create the CNN architecture - this includes the input layer, several convolutional layers with ReLU activations, pooling layers, flatten layers, Dense layers with dropout, and an output layer with a Softmax activation function.5. Compile the model by specifying the optimizer, loss function, and metrics.6. Train the model using the training data and validate the models accuracy on the validation set. You can adjust the hyperparameters learning rate, batch size, and the number of epochs to achieve the best result.7. Evaluate the final model on the test set to obtain an estimate of its accuracy.8. Use the trained model for classifying different types of cars by passing an image of a car as an input, and the model will predict the type of car with maximum probability.Remember that as a helpful AI assistant, I am here for providing information to assist you, and Im not capable of actually constructing the AI model myself. . Response in Sesotho: Ehlile! Ho hlahisa mofuta oa AI bakeng sa ho khetholla mefuta e fapaneng ea likoloi re ka sebelisa mekhoa ea ho ithuta ka mochini e hlokometsoeng joalo ka Convolutional Neural Networks CNN. Ka kopo latela mehato e ka tlase: 1. Bokella kapa u bokelle litšoantšo tse lekaneng tsa mefuta e fapaneng ea likoloi, ho kenyeletsoa li-sedans, likoloi tsa lipapali, li-SUV, joalo-joalo. Netefatsa hore litšoantšo ke tsa boleng bo holimo le tsa boholo bo fapaneng, li-angles le maemo a mabone. 2. Etsa litšoantšo esale pele ka ho fetola boholo, ho tloaeleha, le ho eketsa lintlha. Sena se etsa hore litšoantšo li itokisetse ho kenngoa mofuteng. 3. Arola lintlha ho koetliso, ho netefatsa, le lihlopha tsa liteko ho hlahloba mohlala ha u ntse u koetlisoa. 4. Etsa moralo oa CNN - sena se kenyelletsa lera la ho kenya, likarolo tse maloa tsa convolutional tse nang le tsebetso ea ReLU, lihlopha tse kopanyang, lihlopha tse bataletseng, lihlopha tse teteaneng tse nang le dropout, le karolo ea tlhahiso e nang le tsebetso ea Softmax activation. 5. Kopanya mohlala ka ho totobatsa se ntlafatsang, tsebetso ea tahlehelo, le metrics. 6. Koetlisa mohlala ho sebelisa lintlha tsa koetliso me u netefatse ho nepahala ha mohlala holima sete sa ho netefatsa. O ka fetola li-hyperparameter sekhahla sa ho ithuta, boholo ba batch, le palo ea nako ho fihlela sephetho se setle. 7. Hlahloba mohlala oa ho qetela tekong e behiloeng ho fumana khakanyo ea ho nepahala ha eona. 8. Sebelisa mohlala o koetlisitsoeng bakeng sa ho arola mefuta e fapaneng ea likoloi ka ho fetisa setšoantšo sa koloi e le ho kenya letsoho, me mohlala o tla bolela esale pele mofuta oa koloi e nang le monyetla o moholo. Hopola hore joalo ka mothusi oa AI ea thusang, ke mona ho fana ka leseli ho u thusa, me ha ke khone ho ikahela mohlala oa AI ka bonna. 