Keras/TensorFlow-Machine Learning of Dynamical Systems Using Recurrent Neural Networks-GRU,LSTM
#machinelearning #controlengineering #controltheory #recurrentneuralnetworks #tensorflow #keras #machinelearningtutorial #pythontutorial #controltheorytutorial #pidcontrol #systemidentification #signalprocessing
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In this video, we explain how to use Keras/TensorFlow machine learning libraries to learn models of dynamical systems. We explain:
1.) Background information on dynamical systems and recurrent neural networks
2) How to organize the input-output data using tensors
3) How to implement learning in Keras/TensorFlow
A post accompanying this video can be found here:
https://aleksandarhaber.com/using-recurrent-neural-networks-and-keras-tensorflow-to-learn-input-output-behaviour-of-dynamical-systems/
Видео Keras/TensorFlow-Machine Learning of Dynamical Systems Using Recurrent Neural Networks-GRU,LSTM канала Aleksandar Haber
We appreciate people who want to support this channel:
Paypal: https://www.paypal.me/AleksandarHaber
Patreon: https://www.patreon.com/user?u=32080176&fan_landing=true
In this video, we explain how to use Keras/TensorFlow machine learning libraries to learn models of dynamical systems. We explain:
1.) Background information on dynamical systems and recurrent neural networks
2) How to organize the input-output data using tensors
3) How to implement learning in Keras/TensorFlow
A post accompanying this video can be found here:
https://aleksandarhaber.com/using-recurrent-neural-networks-and-keras-tensorflow-to-learn-input-output-behaviour-of-dynamical-systems/
Видео Keras/TensorFlow-Machine Learning of Dynamical Systems Using Recurrent Neural Networks-GRU,LSTM канала Aleksandar Haber
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