What you would learn in Implement Text Auto Completion with LSTM course?
Are you curious about how your preferred messaging application can suggest following potential words to you while you write an email or message? Or the way your email program suggests possible sentence endings when you write an email? These are all examples of auto-completion systems for a text that are data-driven systems that aid users when writing text. In this course, implement Text Auto Completion with LSTM. Learn how to create auto-completion software based on LSTM by starting from scratch with Python and Keras. In the beginning, you'll be able to understand the in-depth process of how LSTM networks operate. Then, you'll learn how LSTMs can be utilized to create network architectures to handle various tasks in natural language processing and, specifically, for sentence auto-completion. In the final, you'll look at an open-source email database and create a system to perform auto-completion of emails by using LSTM networks. By the end of the course, you'll have a thorough understanding of text auto-completion systems and the ability to implement one of these systems using Python along with Keras.
Course Overview 2mins
Long Short Term Memory Networks (LSTM) 38mins
Data Preparation for Assisted Smart Writing 25mins
Implementation of Auto-completion for Assisted Smart Writing 30mins
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