Index of /Cursos/[ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning & Deep Learning in Python/12. Neural Networks

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[PARENTDIR]Parent Directory  -  
[TXT]1. ---- NEURAL NETWORKS INTRODUCTION ----.html2019-08-01 14:33 35  
[VID]2. Axons and neurons in the human brain.mp42019-08-01 14:33 19M 
[   ]2. Axons and neurons in the human brain.vtt2019-08-01 14:33 9.4K 
[VID]3. Modeling human brain.mp42019-08-01 14:33 16M 
[   ]3. Modeling human brain.vtt2019-08-01 14:33 8.3K 
[VID]4. Learning paradigms.mp42019-08-01 14:33 6.5M 
[   ]4. Learning paradigms.vtt2019-08-01 14:33 3.0K 
[VID]5. Artificial neurons - the model.mp42019-08-01 14:33 17M 
[   ]5. Artificial neurons - the model.vtt2019-08-01 14:33 7.4K 
[VID]6. Artificial neurons - activation functions.mp42019-08-01 14:33 14M 
[   ]6. Artificial neurons - activation functions.vtt2019-08-01 14:33 6.6K 
[VID]7. Artificial neurons - an example.mp42019-08-01 14:33 11M 
[   ]7. Artificial neurons - an example.vtt2019-08-01 14:33 4.8K 
[VID]8. Neural networks - the big picture.mp42019-08-01 14:33 11M 
[   ]8. Neural networks - the big picture.vtt2019-08-01 14:33 4.8K 
[VID]9. Applications of neural networks.mp42019-08-01 14:33 5.2M 
[   ]9. Applications of neural networks.vtt2019-08-01 14:33 2.4K 
[TXT]10. ---- BACKPROPAGATION ----.html2019-08-01 14:33 42  
[VID]11. Feedforward neural networks.mp42019-08-01 14:33 18M 
[   ]11. Feedforward neural networks.vtt2019-08-01 14:33 8.9K 
[VID]12. Optimization - cost function.mp42019-08-01 14:33 26M 
[   ]12. Optimization - cost function.vtt2019-08-01 14:33 12K 
[VID]13. Simplified feedforward network.mp42019-08-01 14:33 19M 
[   ]13. Simplified feedforward network.vtt2019-08-01 14:33 9.0K 
[VID]14. Feedforward neural network topology.mp42019-08-01 14:33 15M 
[   ]14. Feedforward neural network topology.vtt2019-08-01 14:33 6.6K 
[VID]15. The learning algorithm.mp42019-08-01 14:33 13M 
[   ]15. The learning algorithm.vtt2019-08-01 14:33 6.0K 
[VID]16. Error calculation.mp42019-08-01 14:33 14M 
[   ]16. Error calculation.vtt2019-08-01 14:33 6.5K 
[VID]17. Gradient calculation I - output layer.mp42019-08-01 14:33 20M 
[   ]17. Gradient calculation I - output layer.vtt2019-08-01 14:33 9.3K 
[VID]18. Gradient calculation II - hidden layer.mp42019-08-01 14:33 9.2M 
[   ]18. Gradient calculation II - hidden layer.vtt2019-08-01 14:33 4.1K 
[VID]19. Backpropagation.mp42019-08-01 14:33 13M 
[   ]19. Backpropagation.vtt2019-08-01 14:33 5.7K 
[VID]20. Backpropagation II.mp42019-08-01 14:33 4.7M 
[   ]20. Backpropagation II.vtt2019-08-01 14:33 2.0K 
[VID]21. Applications of neural networks I - character recognition.mp42019-08-01 14:33 8.8M 
[   ]21. Applications of neural networks I - character recognition.vtt2019-08-01 14:33 4.4K 
[VID]22. Applications of neural networks II - stock market forecast.mp42019-08-01 14:33 9.5M 
[   ]22. Applications of neural networks II - stock market forecast.vtt2019-08-01 14:33 4.7K 
[VID]23. Deep learning.mp42019-08-01 14:33 9.5M 
[   ]23. Deep learning.vtt2019-08-01 14:33 4.6K 
[TXT]24. ----- IMPLEMENTATION -----.html2019-08-01 14:33 53  
[VID]25. Building networks.mp42019-08-01 14:33 13M 
[   ]25. Building networks.vtt2019-08-01 14:33 6.5K 
[VID]26. Building networks II.mp42019-08-01 14:33 12M 
[   ]26. Building networks II.vtt2019-08-01 14:33 5.9K 
[VID]27. Handling datasets.mp42019-08-01 14:33 6.2M 
[   ]27. Handling datasets.vtt2019-08-01 14:33 3.1K 
[VID]28. Neural network example I - XOR problem.mp42019-08-01 14:33 18M 
[   ]28. Neural network example I - XOR problem.vtt2019-08-01 14:33 7.8K 
[VID]29. Neural network example II - iris dataset.mp42019-08-01 14:33 36M 
[   ]29. Neural network example II - iris dataset.vtt2019-08-01 14:33 8.1K 

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