PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
Lead AI Strategy with UCSB's Agentic AI Program — Microsoft Certified
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn how to implement time sequence prediction using LSTM (Long Short-Term Memory) cells in PyTorch with this 30-minute tutorial. Explore the process of creating sine wave signals, building an LSTM model, implementing a training loop, and conducting final testing. Gain practical insights into forecasting techniques and enhance your skills in time series analysis using Python and PyTorch.
Syllabus
- Intro
- Sine Wave Creation
- LSTM Model
- Training Loop
- Final Testing
Taught by
Python Engineer