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Deep Learning Foundations: Natural Language Processing with TensorFlow

Data Science

Deep Learning Foundations: Natural Language Processing with TensorFlow

Deep Learning Foundations: Natural Language Processing with TensorFlow

There is a growing demand to harness the power of natural language processing (NLP) and deep learning models to be able to make sense of textual data and reduce the emotional intervention of humans in order to make better decisions.

In the ‘Deep Learning Foundations: Natural Language Processing with TensorFlow‘ course, instructor Harshit Tyagi provides a complete guide to understanding NLP using recurrent neural networks (RNNs).

Harshit begins by introducing you to word encodings and using TensorFlow for tokenization. He describes the important concept of word embeddings and shows you how to use TensorFlow to classify movie reviews and project vectors. Harshit discusses RNNs and long short-term memory (LSTM), then shows you how to improve the movie review classifier from earlier in the course. He concludes with a discussion of how you can train RNNs to predict the next word in a sentence, which in turn allows you to generate some original text.

You can enroll in the course (and 15,000+ other courses) for FREE by starting your free trial month at LinkedIn Learning! Click here to enroll in Deep Learning Foundations: Natural Language Processing with TensorFlow.

Get a Certificate of Completion

By successfully completing the course, get a certificate of completion from LinkedIn which you can use to share what you’ve learned, and be a standout professional in your desired industry. The certificate can also be used to:

  • Showcase on your LinkedIn profile under the ‘Licenses and Certificate’ section.
  • Download or print out a PDF to share with others.
  • Share as an image online to demonstrate your skill.

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