Malaysian Smart Factory 4.0 - Deep Learning Essentials for Smart Factory

1. Install necessary software and setup the PC for deep learning model training 2. Identify the differences between time series data vs cross sectional data 3. Identify the differences between univariate time series and multivariate time series 4. Identity 5 basic components of time series data: trend, seasonality, remainder, cycle, stationarity 5. Perform Explanatory Data Analysis on input data 6. Understand how Artificial Neural Network (ANN) and Multi-Layer Perceptron (MLP) work 7. Understand how Long Short-Term Memory (LSTM) works 8. Measure the performance of deep learning models using suitable evaluation metrics 9. Perform batch processing using Node – Red to run Knime workflow at scheduled time

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