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03_​LSTM_​Network

Solution to the Exercise 8: LSTM Network
Network Architecture Create Input Vector Select activation function ReLU, Tanh, orSigmoid Apply Keras model to generate dynamicforecasts Network Architecture Create Input Vector Energyusagedata[200] tensor for200 lagged inputs80/20 split[1] tensor foroutputLSTM with 100units and ReLUcombine intolistlag 200 values0 ReLU1 Tanh2 SigmoidMSE80/20 splitcombine intolistlag 200 valuesEnergyusagedataMSEUniform outputlayer name[200] tensor for200 lagged inputs[1] tensor foroutputLSTM with 100units and ReLU File Reader TensorFlowNetwork Executor Keras Input Layer Partitioning Keras Dense Layer Keras LSTM Layer Column Aggregator Lag Column Keras to TensorFlowNetwork Converter Preprocessing Parameter OptimizationLoop Start Rule EngineVariable ParameterOptimization Loop End Numeric Scorer Keras NetworkLearner Partitioning Numeric Scorer Column Aggregator Deployment Loop Lag Column Preprocessing Line Plot File Reader Keras NetworkLearner Keras Reshape Layer Keras Input Layer Keras Dense Layer Keras LSTM Layer Network Architecture Create Input Vector Select activation function ReLU, Tanh, orSigmoid Apply Keras model to generate dynamicforecasts Network Architecture Create Input Vector Energyusagedata[200] tensor for200 lagged inputs80/20 split[1] tensor foroutputLSTM with 100units and ReLUcombine intolistlag 200 values0 ReLU1 Tanh2 SigmoidMSE80/20 splitcombine intolistlag 200 valuesEnergyusagedataMSEUniform outputlayer name[200] tensor for200 lagged inputs[1] tensor foroutputLSTM with 100units and ReLU File Reader TensorFlowNetwork Executor Keras Input Layer Partitioning Keras Dense Layer Keras LSTM Layer Column Aggregator Lag Column Keras to TensorFlowNetwork Converter Preprocessing Parameter OptimizationLoop Start Rule EngineVariable ParameterOptimization Loop End Numeric Scorer Keras NetworkLearner Partitioning Numeric Scorer Column Aggregator Deployment Loop Lag Column Preprocessing Line Plot File Reader Keras NetworkLearner Keras Reshape Layer Keras Input Layer Keras Dense Layer Keras LSTM Layer

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On NodePit since: 2021-09-17
Last update: 2024-04-26
Created with KNIME version: v4.2.3
Tags: Time SeriesPredictionEnergy UsageLSTMDeep LearningNeural NetworkKeras

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