Data Science
Time Series Forecasting with GRUs
This course explores Gated Recurrent Units (GRUs) in TensorFlow 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
TensorFlow
4 lessons
16 practices
1 hour
Course details
Experimenting with GRU Model Architecture
Adding the Final Output Layer
Compiling GRU Models for Training
Training GRUs
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