Big Data & Machine Learning Cloud OnBoard 1 2 1 Create a neural network model, defining the number of feature columns 3 and hidden units 2 5 3 6 5 nhidden 7 2 6 Create 8 7 9 8 10 9 noutputs 11 npredictors 10 12 … 11 13 … 12 14 13 15 14 estimator = DNNRegressor(hidden_units=[5], feature_columns=[...]) 16 15 1716 Neural network imageby Dake, Mysid [CC BY 1.0], via Wikimedia Commons 17 18 Big Data & Machine Learning Cloud OnBoard 1 2 1 Train the model on the collected data 3 2 5 3 6 model 5 7 3 Predicted 6 Train npredictors value of 8 taxicab 7 … … demand 9 8 10 9 Update Cost 11 model based 10 on Cost 12 11 13 12 True value of 14 taxicab 13 demand 15 14 16 15 estimator.fit(predictors, targets, steps=1000) 1716 Neural network imageby Dake, Mysid [CC BY 1.0], via Wikimedia Commons 17 18 54