Implement Text Auto Completion with LSTM

سرفصل های دوره

This course will teach you how to build a system for email auto-completion from scratch using Python and Keras. You'll learn the internal intricacies of LSTM networks and how they can be used to build systems for the task of text autocompletion.

1. Course Overview

1. Course Overview

2. Long Short Term Memory Networks (LSTM)

1. Overview

2. Introduction to Neural Networks

3. Natural Language Text as Sequential Data

4. Recurrent Neural Networks (RNNs)

5. Long Short-term Memory Networks ( LSTMs )

6. Networks Architecture Using LSTMs

7. Natural Language Generation Using LSTMs

8. Summary

3. Data Preparation for Assisted Smart Writing

1. Overview

2. Explore Enron Email Dataset

3. Extract Plaintext Messages from Raw Email Data

4. Clean the Email Dataset

5. Functions to Preprocess the Dataset

6. Preprocess the Email Dataset

7. Summary

4. Implementation of Auto-completion for Assisted Smart Writing

1. Overview

2. Network Architecture for Text Generation

3. Tokenization, Vocabulary, and N-grams

4. Handle Variable Sentence Lengths

5. Predictors and Labels for Training

6. Build and Train the Model

7. Generate Auto-complete Suggestions

8. Summary

189,000 تومان

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خرید دانلودی فوری

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تولید کننده: PluralSight