| 1. Conclusion.mp4 | 40.7 MB | ||
| 1. Course Overview.mp4 | 49.4 MB | ||
| 1. Our Neural Network Design.mp4 | 27 MB | ||
| 1. Problem with Single Perceptrons.mp4 | 100.6 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. Feed Forward on a Spread sheet.mp4 | 174.7 MB | ||
| 2. Generating General Parameters.mp4 | 68 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 MB | ||
| 3. Creating the Tensors class.mp4 | 83.1 MB | ||
| 3. Output Layer BackPropagation.mp4 | 77.7 MB | ||
| 4. Hidden Layer BackPropagation Node 1.mp4 | 98 MB | ||
| 4. Initializing the Constructor and Destructor.mp4 | 58.1 MB | ||
| 5. Adding and retrieving Matrices from a Tensor.mp4 | 77.5 MB | ||
| 5. Hidden Layer BackPropagation Node 2.mp4 | 71.2 MB | ||
| 6. Creating Tensor Objects.mp4 | 44.2 MB | ||
| 6. Gradient Descent.mp4 | 170.3 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Crypto Downloads Here.url | 204.8 B | ||
| ▲ 34 total files | |||
MQL5 MACHINE LEARNING 02: Deep Learning For Algo-Trading
https://FreeCryptoLearn.com
Published 4/2024
Created by Latvian Trading Solutions,Omega Joctan,Joy D Moyo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 6h 1m ) | Size: 2.9 GB
A complete guide to coding deep learning algorithms using the MQL5 Algorithmic trading language
What you'll learn:
The applications of Deep learning in Algorithmic trading
How to code a Deep neural network in Excel spreadsheets
How to code a Deep neural network in MQL5
How to develop a Machine learning model and design it
Requirements:
Must have taken:: MQL5 Machine learning 01: Code Neural Networks for Algo Trading
MQL5 Beginner Programming experience needed
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