Deep Learning Foundations: Natural Language Processing with TensorFlow

Description

In this course, you will :

• Harshit Tyagi, the instructor, provides a comprehensive guide to understanding NLP using recurrent neural networks (RNNs).
• begins by introducing you to word encodings and tokenization with TensorFlow.
• describes the key concept of word embeddings and demonstrates how to use TensorFlow to classify movie reviews and project vectors
• RNNs and long short-term memory (LSTM) are discussed, and then you will see how to improve the movie review classifier from earlier in the course.
• concludes with an explanation of how to train RNNs to predict the next word in a sentence, allowing you to generate some original text.

Syllabus :

1. Getting Started with NLP

• Introduction to natural language processing
• Introduction to word encodings
• Tokenization using TensorFlow

 

2. Text Classification

• Classifying movie reviews using TensorFlow
• Projecting vectors using TensorFlow
• Building a text classifier

 

3. Classification with RNNs and LSTMs

• Implementing LSTMs with TensorFlow
• Improving your movie review classifier

 

4. Text Generation with RNNs

• Predicting the next word

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