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DeepLearning.AI - Natural Language Processing in TensorFlow 

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  • Public/Government Institute

Natural Language Processing in TensorFlow
 at 
Coursera 
Overview

Duration

9 hours

Mode of learning

Online

Difficulty level

Intermediate

Credential

Certificate

Natural Language Processing in TensorFlow
Table of contents
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Natural Language Processing in TensorFlow
 at 
Coursera 
Highlights

  • Offered By deeplearning.ai
  • Earn a certificate from deeplearning.ai
  • Requires effort of 4-5 hours per week hours per week
  • Learn from Developer Advocate at Google working on Artificial Intelligence with TensorFlow
Read more
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Natural Language Processing in TensorFlow
 at 
Coursera 
Course details

What are the course deliverables?
  • Build natural language processing systems using TensorFlow
  • Process text, including tokenization and representing sentences as vectors
  • Apply RNNs, GRUs, and LSTMs in TensorFlow
  • Train LSTMs on existing text to create original poetry and more
More about this course
  • In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You'll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you'll get to train an LSTM on existing text to create original poetry!

Natural Language Processing in TensorFlow
 at 
Coursera 
Curriculum

Week 1: Sentiment in text

Week 2: Word Embeddings

Week 3: Sequence models

Week 4: Sequence models and literature

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Natural Language Processing in TensorFlow
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