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TCLab A: Arduino + Deep Learning
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The Arduino TCLab is a hands-on application of machine learning and advanced temperature control with two heaters and two temperature sensors. The labs reinforce principles of model development, estimation, and advanced control methods.
Deep learning is a type of machine learning with a multi-layered neural network. It is one of many machine learning methods for synthesizing data into a predictive form.
Two applications of deep learning are regression (predict outcome) and classification (distinguish among discrete options). In each case, there is training data that is used to adjust weights (unknown parameters) that minimize a loss function (objective function).
A trained model predicts outcomes based on new input conditions that aren't in the original data set. Some of the typical steps for building and deploying a deep learning application are data consolidation, data cleansing, model building, training, validation, and deployment. Example Python code is provided for each of the steps.
Deep learning is a type of machine learning with a multi-layered neural network. It is one of many machine learning methods for synthesizing data into a predictive form.
Two applications of deep learning are regression (predict outcome) and classification (distinguish among discrete options). In each case, there is training data that is used to adjust weights (unknown parameters) that minimize a loss function (objective function).
A trained model predicts outcomes based on new input conditions that aren't in the original data set. Some of the typical steps for building and deploying a deep learning application are data consolidation, data cleansing, model building, training, validation, and deployment. Example Python code is provided for each of the steps.
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