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
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