Artificial Intelligence
Time Series Forecasting with GRUs
This course explores Gated Recurrent Units (GRUs) in PyTorch for multivariate time series forecasting. We will build, evaluate, and apply advanced GRU techniques like Bidirectional GRUs, Attention Mechanisms, and Hybrid GRU-CNN models to improve forecasting accuracy.
Python
PyTorch
4 lessons
16 practices
1 hour
Course details
Introduction to Time Series Forecasting with GRUs using PyTorch
Experimenting with GRU Architecture Parameters
Completing GRU Forecasting Model with Linear Output Layer
Adding Loss Function and Optimizer to GRU Model for Air Quality Forecasting
Training a GRU Model for Air Quality Temperature Prediction
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