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Classroom Contents
Natural Language Processing with Deep Learning and TensorFlow
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- 1 Intro
- 2 About me
- 3 Introduction to Natural Language Processing
- 4 Expectations
- 5 Chatbots
- 6 NLP tasks
- 7 Sentiment analysis
- 8 Text classification
- 9 Dataset
- 10 Machine Learning Classification Problem
- 11 Vocabulary
- 12 Embeddings
- 13 Tensorflow Hub
- 14 Neural Network Architecture
- 15 Estimators
- 16 Shakespeare-like text generation
- 17 Context
- 18 Recurrent Neural Networks
- 19 Data representation
- 20 Input & Output
- 21 Machine Learning at Scale
- 22 Project structure
- 23 Running a training job
