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Classification

Understand how to classify text sentiment using a BiLSTM model. Learn to apply the sigmoid function to logits for binary classification and convert these probabilities into predictions. This lesson helps you implement and interpret text classification outputs in TensorFlow.

Chapter Goals:

  • Classify input text using the BiLSTM model

A. Calculating predictions

our BiLSTM is used to classify sentiment in text as either positive or negative. Since there are ...