PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
Offered By: Python Engineer via YouTube
Course Description
Overview
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
Related Courses
Deep Learning with Python and PyTorch.IBM via edX Introduction to Machine Learning
Duke University via Coursera How Google does Machine Learning em Português Brasileiro
Google Cloud via Coursera Intro to Deep Learning with PyTorch
Facebook via Udacity Secure and Private AI
Facebook via Udacity