LSTM-Based Time Series with PyTorch (10.2)

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  • Опубліковано 26 жов 2023
  • This video covers the realm of deep learning with our comprehensive guide on using Long Short-Term Memory (LSTM) networks for time series prediction. LSTMs, a type of recurrent neural network, have been particularly effective at capturing long-range dependencies and intricate patterns in sequential data. This video demystifies the inner workings of LSTMs, highlighting their advantages for time series forecasting. Through practical coding sessions, real-world examples, and best practices, we ensure you leave with a solid grasp on how to harness the power of LSTMs for your predictive needs using time series data.
    Code for This Video:
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    ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~
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    #LSTM #TimeSeries #DeepLearning #Forecasting #RecurrentNeuralNetwork #RNN #SequentialData #TimeSeriesPrediction #MachineLearning #LSTMTutorial
  • Наука та технологія

КОМЕНТАРІ • 6

  • @pwdrhrn
    @pwdrhrn 6 місяців тому +2

    I love the way you explain things. "We aren't getting into Trig, we simply want the shape". One statement cuts through all the black magic.

  • @maximinmaster7511
    @maximinmaster7511 8 місяців тому +4

    Thank you Jeff.

  • @ericlambourdiere8501
    @ericlambourdiere8501 7 місяців тому +1

    Thank you so much!

  • @user-lr5tw6ur4o
    @user-lr5tw6ur4o 4 місяці тому

    very usefull notebooks

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