MQL5 MACHINE LEARNING 02 Deep Learning For Algo Trading FreeCourseWeb
Seeders : 3 Leechers : 0
| Torrent Hash : | 27075DA27799DD513FA2C7667BCFCDF9A6EFA859 |
| Torrent Added : | at April 8, 2024, 10:08 p.m. in Other |
| Torrent Size : | 2.8 GB |
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MQL5 MACHINE LEARNING 02 Deep Learning For Algo Trading FreeCourseWeb
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MQL5 MACHINE LEARNING 02 Deep Learning For Algo Trading FreeCourseWeb
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1. Course Overview.mp4 -
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 -
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 -
1. Conclusion.mp4 -
Bonus Resources.txt -
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185 bytes
1. Course Overview.mp4 -
49.4 MB
1. Problem with Single Perceptrons.mp4 -
100.6 MB
2. Feed Forward on a Spread sheet.mp4 -
174.7 MB
3. Output Layer BackPropagation.mp4 -
77.7 MB
4. Hidden Layer BackPropagation Node 1.mp4 -
98.0 MB
5. Hidden Layer BackPropagation Node 2.mp4 -
71.2 MB
6. Gradient Descent.mp4 -
170.3 MB
1. Our Neural Network Design.mp4 -
27.0 MB
10. Randomizing Training Input Data.mp4 -
101.6 MB
11. Creating a Copy Function.mp4 -
77.8 MB
12. Splitting the Inputs Dataset matrix.mp4 -
141.5 MB
13. Generating Pseudo Random Numbers.mp4 -
26.6 MB
14. Generating Tensor Parameters.mp4 -
104.5 MB
15. Hidden Layer Declaration.mp4 -
84.4 MB
16. Coding the Forward Pass Function.mp4 -
142.6 MB
17. Batch Forward Pass.mp4 -
39.9 MB
18. Back Propagation Preparation.mp4 -
107.4 MB
19. Back Propagation.mp4 -
176.2 MB
2. Generating General Parameters.mp4 -
68.0 MB
20. Neural Network Training and Testing.mp4 -
97.9 MB
21. Drawing Arrows.mp4 -
69.2 MB
22. Displaying Signals.mp4 -
77.9 MB
23. Debugging.mp4 -
216.7 MB
24. Testing the Neural Network.mp4 -
101.0 MB
3. Creating the Tensors class.mp4 -
83.1 MB
4. Initializing the Constructor and Destructor.mp4 -
58.1 MB
5. Adding and retrieving Matrices from a Tensor.mp4 -
77.5 MB
6. Creating Tensor Objects.mp4 -
44.2 MB
7. Getting Input Data.mp4 -
49.5 MB
8. Creating an Inputs Dataset Matrix.mp4 -
64.2 MB
9. Getting Live Input Data.mp4 -
27.6 MB
1. Conclusion.mp4 -
40.7 MB
Bonus Resources.txt -
386 bytes
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