Transformer-Based Time Series with PyTorch (10.3)

This video covers deep learning as we explore the transformative power of Transformer models in time series analysis using PyTorch. Originally designed for natural language processing tasks, Transformer architectures have shown incredible potential when applied to time series data. This video provides an in-depth walkthrough on how to leverage these architectures for forecasting, anomaly detection, and more. From the underlying theory to hands-on coding sessions, we'll guide you through the intricacies of implementing Transformer-based models in PyTorch, ensuring you're well-equipped to harness their potential for your own time series data. Code for This Video: https://github.com/jeffheaton/app_deep_learning/blob/pre_summer_2026/t81_558_class_10_3_transformer_timeseries.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 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Transformers #TimeSeries #PyTorch #DeepLearning #Forecasting #NLP #TimeSeriesAnalysis #TransformerModels #PyTorchTutorial #MachineLearning