PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\16. Deep Learning with TensorFlow  | ||
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 9. Initialization | ||
 8. Overfitting | ||
 6. Deep nets overview | ||
 5. Introduction to TensorFlow | ||
 4. Minimal example | ||
 3. Setting up the environment | ||
 2. Neural networks Intro | ||
 14. Conclusion | ||
 13. Business case | ||
 12. Deeper example | ||
 11. Preprocessing | ||
 10. Optimizers | ||
 1. Introduction | ||