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 ...

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 ...

In this work, with a novel Hybrid CNN LSTM model, we present an in depth comparison and evaluation of various deep learning models (CNN, LSTM, RNN) on predicting user behaviour. To compare our ...

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.

🔤 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 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 ...