PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Deep Learning A-Z Hnads-On Artificial Neural Networks

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1. Welcome to the course12/23/2021 4:50 AM
10. Building a RNN12/23/2021 4:51 AM
11. Evaluating and Improving the RNN12/17/2021 1:46 PM
12. ------------------------ Part 4 - Self Organizing Maps ------------------------12/17/2021 1:46 PM
13. SOMs Intuition12/23/2021 4:51 AM
14. Building a SOM12/23/2021 4:51 AM
15. Mega Case Study12/23/2021 4:51 AM
16. ------------------------- Part 5 - Boltzmann Machines -------------------------12/23/2021 4:51 AM
17. Boltzmann Machine Intuition12/23/2021 4:52 AM
18. Building a Boltzmann Machine12/23/2021 4:53 AM
19. ---------------------------- Part 6 - AutoEncoders ----------------------------12/23/2021 4:52 AM
2. --------------------- Part 1 - Artificial Neural Networks ---------------------12/17/2021 1:46 PM
20. AutoEncoders Intuition12/23/2021 4:53 AM
21. Building an AutoEncoder12/23/2021 4:54 AM
22. ------------------- Annex - Get the Machine Learning Basics -------------------12/17/2021 1:46 PM
23. Regression & Classification Intuition12/23/2021 4:54 AM
24. Data Preprocessing Template12/23/2021 4:54 AM
25. Logistic Regression Implementation12/23/2021 4:55 AM
26. Bonus Lectures12/17/2021 1:47 PM
3. ANN Intuition12/23/2021 4:55 AM
4. Building an ANN12/23/2021 4:56 AM
5. -------------------- Part 2 - Convolutional Neural Networks --------------------12/17/2021 1:47 PM
6. CNN Intuition12/23/2021 4:56 AM
7. Building a CNN12/23/2021 4:58 AM
8. ---------------------- Part 3 - Recurrent Neural Networks ----------------------12/17/2021 1:47 PM
9. RNN Intuition12/23/2021 4:58 AM