LSTM-Based Time Series with PyTorch (10.2)

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: https://github.com/jeffheaton/app_deep_learning/blob/main/t81_558_class_10_2_lstm.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - Coming soon 😸🐙 GitHub - https://github.com/jeffheaton/app_deep_learning/ ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzuy_lHcRW8lPTLPTTOmUpmi 🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #LSTM #TimeSeries #DeepLearning #Forecasting #RecurrentNeuralNetwork #RNN #SequentialData #TimeSeriesPrediction #MachineLearning #LSTMTutorial