Signal Classification using Long Short-Term Memory Networks

From: ₹200.00

Last day of registration: 7th May, 2025

 
SKU: 10th May, 2025 Categories: ,

Description of the Course

This workshop provides a comprehensive, hands-on experience in deep learning techniques for signal classification using a Long Short-Term Memory (LSTM) network, a type of Recurrent Neural Network (RNN). Throughout the workshop, the participants will use MATLAB, they will begin by importing and visualizing signals in the time domain to understand their features. They will then move on to learn essential techniques for preparing signals for training the model, such as filling in missing data points, standardizing sequence lengths, and dividing the dataset into training, validation, and test sets. Following this, participants will design and train an LSTM network, setting key training parameters and evaluating its performance using appropriate metrics. Finally, participants will learn how to improve model accuracy and efficiency, gaining a comprehensive understanding of LSTMs and their application in signal classification.