<prompt> Theha khoutu ea theano bakeng sa ho bolela esale pele.target_variable thekiso  <response>: Instruction in English: Create an theano code for making a prediction. . Response in English: Sure! Here is an example of theano code that can be used for making a prediction for a target variable sales.pythonimport theanoimport theano.tensor as Timport numpy as np Define the input and output variablesinputs T.matrixinputsoutput T.vectortarget_variable Define the model parametersweights theano.sharednp.random.randninputs.shape1, nameweightsbias theano.shared0., namebias Define the modelprediction T.dotinputs, weights bias Define the cost functioncost T.meanT.sqrprediction - output Define the update functionupdates weights, weights - 0.1 T.gradcost, weights, bias, bias - 0.1 T.gradcost, bias Compile the prediction functionpredict theano.functioninputsinputs, outputsprediction Example of making a predictionexample_inputs np.random.randn1, inputs.shape1predicted_sales predictexample_inputsprintpredicted_salesThis code defines the input and output variables, the model parameters, the model, cost function and update function. The prediction function is then compiled and an example prediction is made using randomly generated example inputs. The predicted sales value is printed as the output. . Response in Sesotho: Ehlile! Mohlala ke ona oa khoutu ea theano e ka sebelisoang ho bolela esale pele bakeng sa thekiso ea sepheo se fapaneng. python import theano import theano.tensor e le T import numpy as np Hlalosa mefuta ea ho kenya le ea tlhahiso T.matrixinputs output T.vectortarget_variable Hlalosa boima ba liparamente tsa mohlala theano. arolelanoanp.random.randninputs.shape1, lebitsoweights bias theano.shared0., lebitsobias Hlalosa ponelopele ea mohlala T.dotlitlhahiso, boima leeme Hlalosa litšenyehelo tsa tsebetso ea litšenyehelo T.meanT.sqrprediction - output Hlalosa lintlafatso tsa tsebetso ea ntlafatso litekanyo, boima - 0.1 T.gradlitšenyehelo, boima, leeme , leeme - 0.1 T.gradlitšenyehelo, leeme Kopanya mosebetsi oa ho bolela esale pele theano.functioninputsinputs, outputsprediction Mohlala oa ho etsa mohlala_inputs np.random.randn 1, inputs.shape1 predicted_sales predictmohlala_inputs printpredicted_thekiso Khoutu ena e hlalosa mefuta-futa ea ho kenya le tlhahiso, liparamente tsa mohlala, mohlala, tsebetso ea litšenyehelo le tsebetso ea ntlafatso. Mosebetsi oa ho bolela esale pele oa bokelloa me mohlala oa ho bolela esale pele o etsoa ho sebelisoa mehlala e entsoeng ka tšohanyetso. Theko ea thekiso e boletsoeng esale pele e hatisoa e le tlhahiso. 