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Named Entity Recognition using LSTMs with Keras

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In this 1-hour long project-based course, you will use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions of people, locations, organizations, etc. Named entity recognition is not only a standalone tool for information extraction, but it also an invaluable preprocessing step for many downstream natural language processing applications like machine translation, question answering, and text summarization. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Dive into the fascinating world of Named Entity Recognition (NER) with our engaging project-based course, "Named Entity Recognition using LSTMs with Keras". This intermediate-level course, curated by Coursera, is perfect for IT and Computer Science enthusiasts eager to enhance their machine learning skills. Over the span of just one hour, you will master the use of the Keras API with TensorFlow to construct and train a sophisticated bidirectional LSTM neural network model capable of identifying named entities in text data. With a free subscription option available, this concise and intensive course offers a hands-on learning experience tailored for those looking to deepen their understanding of neural networks and natural language processing. Join now and elevate your expertise in cutting-edge AI technology!