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Introduction
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Classroom Contents
Deep Learning and NLP with Spark
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- 1 Introduction
- 2 Machine Learning
- 3 What is Deep Learning
- 4 About Scary Mind
- 5 Why is it not easy
- 6 What our stack looks like
- 7 Back Propagation
- 8 Data Parallelization
- 9 NLP
- 10 Recurrent Neural Net
- 11 Examples
- 12 Word Tyk
- 13 Autogenerated Shakespeare
- 14 Sentiment Classification
- 15 Thank you
- 16 Spark Notebook
- 17 Cluster
- 18 Imports
- 19 Google News
- 20 DL4J
- 21 Logistic Regression
- 22 Creating the model
- 23 Importing the model
- 24 Data structure
- 25 Review numbers
- 26 Data
- 27 Train
- 28 Prediction
- 29 The JVM
