Cursusinhoud
Introduction to RNNs
Introduction to RNNs
1. Introduction to RNNs
4. Sentiment Analysis
Sentiment Analysis Model
In this chapter, we build a Sentiment Analysis Model using an LSTM (Long Short-Term Memory) architecture. The goal of the model is to classify text into two categories: positive or negative sentiment. We use the IMDB dataset for movie reviews and employ several steps to train and evaluate the model.
In summary, this chapter walks through the process of building, training, and evaluating an LSTM-based sentiment analysis model. We focus on essential techniques like model architecture design, training configuration, early stopping, and gradient clipping to ensure that the model performs well on the sentiment classification task.
Was alles duidelijk?
Bedankt voor je feedback!
Sectie 4. Hoofdstuk 4