The Data Science Lab Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB ...

This project implements and compares LSTM and GRU models using PyTorch to forecast hourly energy consumption. It addresses the challenges of temporal dependencies in energy usage using deep learning ...

The deep learning model was built using LSTM (Long Short Term Memory) which is a variant of RNN ( Recurrent Neural Network). The model is trained on the review data and their properties to predict the ...

Learn how to scale up your LSTM model with tips and tricks such as mini-batches, dropout, bidirectional LSTMs, attention mechanisms, and pre-trained embeddings.

Spectrum prediction is considered as a key technology to assist spectrum decision. Despite the great efforts that have been put on the construction of spectrum prediction, achieving accurate spectrum ...

The goal of the IMDB dataset problem is to predict if a movie review has positive sentiment ("I liked this movie") or negative sentiment ("The film was a disappointment"). This article explains how to ...