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

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