Time Series Data Encoding for Deep Learning, PyTorch (10.1)

Navigate the intricate landscape of PyTorch sequences with our comprehensive video guide. PyTorch, one of the leading deep learning frameworks, offers powerful tools to handle sequential data, a cornerstone for tasks ranging from time series analysis to natural language processing. In this tutorial, we'll break down the structure of PyTorch sequences, diving deep into tensors, shapes, and the various functions and modules designed for sequence processing. Whether you're a beginner aiming to get a clear grasp or a seasoned developer looking for a refresher, this video promises clarity, depth, and actionable insights. Code for This Video: https://github.com/jeffheaton/app_deep_learning/blob/pre_summer_2026/t81_558_class_10_1_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 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #PyTorch #Sequences #Tensors #DeepLearning #PyTorchBasics #SequentialData #NLP #TimeSeries #PyTorchTutorial #TensorShapes