B2. Implement Text Auto Completion with LSTM (Biswanath Halder, 2022)

1. Course Overview: 1. Course Overview 00:00:00 2. Long Short Term Memory Networks (LSTM): 1. Overview 00:01:48 2. Introduction to Neural Networks 00:02:58 3. Natural Language Text as Sequential Data 00:08:44 4. Recurrent Neural Networks (RNNs) 00:12:16 5. Long Short-term Memory Networks (LSTMs) 00:20:31 6. Networks Architectures Using LSTMs 00:28:28 7. Natural Language Generation Using LSTMs 00:34:19 8. Summary 00:38:00 3. Data Preparation for Assisted Smart Writing: 1. Overview 00:39:14 2. Explore Enron Email Dataset 00:40:22 3. Extract Plaintext Messages from Raw Email Data 00:43:09 4. Clean the Email Dataset 00:46:25 5. Functions to Preprocess the Dataset 00:52:09 6. Preprocess the Email Dataset 00:59:03 7. Summary 01:03:08 4. Implementation of Auto-completion for Assisted Smart Writing: 1. Overview 01:03:55 2. Network Architecture for Text Generation 01:04:58 3. Tokenization Vocabulary and N-grams 01:09:46 4. Handle Variable Sentence Lengths 01:16:56 5. Predictors and Labels for Training 01:21:06 6. Build and Train the Model 01:23:58 7. Generate Auto-complete Suggestions 01:28:19 8. Summary 01:33:04