Time collection forecasting — predicting future values based mostly on beforehand noticed knowledge — is vital throughout industries: vitality consumption, inventory market tendencies, retail gross sales, climate forecasting, and extra.
Whereas conventional statistical fashions like ARIMA or Prophet supply interpretability and pace, they battle with:
- Advanced nonlinear dependencies
- Multivariate inputs
- Excessive-frequency knowledge
- Lengthy-term dependencies
That is the place deep studying, and particularly TensorFlow, comes into play.
TensorFlow, developed by Google, is a strong open-source machine studying framework that helps constructing scalable deep studying fashions for structured, unstructured, and sequential knowledge. For time collection, it supplies:
- Preprocessing pipelines
- Versatile mannequin structure with Keras
- GPU/TPU acceleration
- Instruments for analysis, deployment, and manufacturing scaling
On this article, you’ll learn to put together knowledge, construct fashions (LSTM, GRU), consider…
