Learn to build and train an LSTM Deep Neural Network for predicting Bitcoin prices using multivariate time series data in this comprehensive machine learning tutorial. Utilize PyTorch and PyTorch Lightning to develop, train, and evaluate the model. Begin by creating a PyTorch dataset, then progress to constructing the LSTM model architecture. Set up the training process and explore the resulting predictions. Gain hands-on experience in implementing advanced time series forecasting techniques with popular deep learning frameworks.
Multivariate Time Series Forecasting with LSTM Using PyTorch and PyTorch Lightning - ML Tutorial
Overview
Syllabus
Intro
Create PyTorch dataset
Build LSTM model
Training setup
Exploring the predictions
Outro
Taught by
Venelin Valkov
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