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 ...

🔤 Word Predictor using LSTM in PyTorch This project demonstrates a Word Prediction Model built using an LSTM (Long Short-Term Memory) neural network in PyTorch. The model is trained on a sequence of ...

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 ...

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.

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 ...