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[ FreeCryptoLearn com ] Udemy - MQL5 MACHINE LEARNING 02 - Deep Learning For Algo-Trading
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1. Introduction
1. Course Overview.mp4
2. Coding a Deep Neural Network in Excel
1. Problem with Single Perceptrons.mp4
2. Feed Forward on a Spread sheet.mp4
3. Output Layer BackPropagation.mp4
4. Hidden Layer BackPropagation Node 1.mp4
5. Hidden Layer BackPropagation Node 2.mp4
6. Gradient Descent.mp4
3. Coding a Deep Neural Network in MQL5
1. Our Neural Network Design.mp4
10. Randomizing Training Input Data.mp4
11. Creating a Copy Function.mp4
12. Splitting the Inputs Dataset matrix.mp4
13. Generating Pseudo Random Numbers.mp4
14. Generating Tensor Parameters.mp4
15. Hidden Layer Declaration.mp4
16. Coding the Forward Pass Function.mp4
17. Batch Forward Pass.mp4
18. Back Propagation Preparation.mp4
19. Back Propagation.mp4
2. Generating General Parameters.mp4
20. Neural Network Training and Testing.mp4
21. Drawing Arrows.mp4
22. Displaying Signals.mp4
23. Debugging.mp4
24. Testing the Neural Network.mp4
3. Creating the Tensors class.mp4
4. Initializing the Constructor and Destructor.mp4
5. Adding and retrieving Matrices from a Tensor.mp4
6. Creating Tensor Objects.mp4
7. Getting Input Data.mp4
8. Creating an Inputs Dataset Matrix.mp4
9. Getting Live Input Data.mp4
4. Conclusion
1. Conclusion.mp4
Bonus Resources.txt
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