Deep Learning Foundations: Natural Language Processing with TensorFlow

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Harshit Tyagi

1:47:14

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01 Introduction

001 Leveraging deep learning for natural language processing.mp4

01:14

02 Getting Started with NLP

001 Introduction to natural language processing.mp4

03:16

002 Introduction to word encodings.mp4

05:25

003 Tokenization using TensorFlow.mp4

06:44

004 Padding the sequences.mp4

06:46

005 Challenge Recognizing sarcasm in the text.mp4

01:57

006 Solution Recognizing sarcasm in the text.mp4

02:24

03 Text Classification

001 Introduction to word embeddings.mp4

04:03

002 Classifying movie reviews using TensorFlow.mp4

10:19

003 Projecting vectors using TensorFlow.mp4

04:29

004 Building a text classifier.mp4

09:11

005 Challenge Text classification.mp4

01:23

006 Solution Text classification.mp4

05:14

04 Classification with RNNs and LSTMs

001 Introduction to RNNs.mp4

05:13

002 Implementing LSTMs with TensorFlow.mp4

06:53

003 Improving your movie review classifier.mp4

04:46

004 Challenge Yelp review classifier.mp4

01:29

005 Solution Yelp review classifier.mp4

03:56

05 Text Generation with RNNs

001 Introduction to text generation.mp4

04:45

002 Predicting the next word.mp4

08:46

003 Challenge Generate poetry.mp4

01:24

004 Solution Generate poetry.mp4

06:55

06 Conclusion

001 Learning more about NLP with TensorFlow.mp4

00:42

Description

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 this 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.

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Natural Language Processing

TensorFlow

Harshit Tyagi

Instructor's Courses

- An engineer with amalgamated experience in web technologies and data science(aka full-stack data science). - Mentored over 10K AI/Web/Data Science aspirants. - Designing data science, data engineering and ML engineering learning tracks. - Previously, developed data processing algorithms with research scientists at Yale, MIT, and UCLA.

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