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
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX