Course

Named Entity Recognition using LSTMs with Keras

Coursera Project Network

In this 1-hour long project-based course, you will delve into using the Keras API with TensorFlow to construct and train a bidirectional LSTM neural network model for named entity recognition in text data. This essential technique is widely applicable to identifying entities such as people, locations, and organizations, serving as a vital preprocessing step for various natural language processing applications.

  • Learn to build and train a bi-directional LSTM with Keras
  • Tackle the Named Entity Recognition (NER) problem with LSTMs
  • Gain access to pre-configured cloud desktops with essential software and data
  • Engage in hands-on learning on Rhyme's project platform

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Named Entity Recognition using LSTMs with Keras
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