LSTM-Based Time Series with PyTorch (10.2)
Ғылым және технология
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:
github.com/jeffheaton/app_dee...
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Пікірлер: 6
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.
Thank you Jeff.
Thank you so much!
very usefull notebooks