PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Deep Learning A-Z Hnads-On Artificial Neural Networks
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1. Welcome to the course
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10. Building a RNN
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11. Evaluating and Improving the RNN
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12. ------------------------ Part 4 - Self Organizing Maps ------------------------
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13. SOMs Intuition
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14. Building a SOM
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15. Mega Case Study
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16. ------------------------- Part 5 - Boltzmann Machines -------------------------
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17. Boltzmann Machine Intuition
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18. Building a Boltzmann Machine
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19. ---------------------------- Part 6 - AutoEncoders ----------------------------
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2. --------------------- Part 1 - Artificial Neural Networks ---------------------
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20. AutoEncoders Intuition
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21. Building an AutoEncoder
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22. ------------------- Annex - Get the Machine Learning Basics -------------------
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23. Regression & Classification Intuition
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24. Data Preprocessing Template
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25. Logistic Regression Implementation
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26. Bonus Lectures
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3. ANN Intuition
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4. Building an ANN
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5. -------------------- Part 2 - Convolutional Neural Networks --------------------
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6. CNN Intuition
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7. Building a CNN
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8. ---------------------- Part 3 - Recurrent Neural Networks ----------------------
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9. RNN Intuition
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