Advanced Machine Learning With ENCOG | 0892D1B84BF2EEB7D77E30D9889E5D8142CC29AD

Advanced Machine Learning With ENCOG

Name	Advanced Machine Learning With ENCOG	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	422.4 MB
Total Files	91
Hash	0892D1B84BF2EEB7D77E30D9889E5D8142CC29AD

/02. Network Tuning - Part 1/
11. Demo XAML Code.wmv	27.1 MB
12. Demo Core Steps-Shuffle, Segregate, Normalize and Prune.wmv	23.3 MB
13. Demo Core Steps-Train.wmv	19.0 MB
14. Demo Observations.wmv	18.2 MB
04. Underfitting And Overfitting.wmv	8.3 MB
05. Selection of Layers and Neurons.wmv	7.5 MB
08. ENCOG Support for Pruning.wmv	5.2 MB
10. Demo Introduction.wmv	5.0 MB
06. Why Network Pruning .wmv	4.2 MB
03. Network Tuning.wmv	3.7 MB
09. Training, Cross Validation and Test Dataset.wmv	3.6 MB
15. Summary.wmv	2.2 MB
01. Introduction.wmv	2.0 MB
07. About Pruning.wmv	1.5 MB
02. Outline.wmv	1.2 MB
/05. Feed Forward Network - Part 1/
09. Demo Adaline Network.wmv	17.0 MB
05. Linear Versus Non-Linear.wmv	12.8 MB
03. Feed Forward Networks.wmv	3.6 MB
12. Demo Perceptron Network.wmv	3.0 MB
11. Perceptron Network in ENCOG.wmv	2.4 MB
08. Adaline Network in ENCOG.wmv	2.3 MB
10. Perceptron Network.wmv	2.0 MB
13. Summary.wmv	1.6 MB
07. Adaline Network.wmv	1.6 MB
06. Linear Neural Networks.wmv	1.3 MB
04. Input Output Mapping.wmv	1.3 MB
01. Introduction.wmv	973.8 KB
02. Outline.wmv	932.0 KB
/
advanced-machine-learning-encog.zip	14.6 MB
/03. Network Tuning - Part 2/
08. Demo Hybrid Strategy.wmv	14.3 MB
06. Demo Greedy Strategy.wmv	6.0 MB
16. Demo Basic Stop Strategies.wmv	5.7 MB
11. Required Improvement Strategy.wmv	4.1 MB
14. Demo Smart Learning Rate and Smart Momentum Strategy.wmv	4.0 MB
10. Demo Reset Strategy.wmv	3.8 MB
04. ENCOG Training Strategies.wmv	3.4 MB
20. Summary.wmv	3.3 MB
12. Demo Required Improvement Strategy.wmv	3.2 MB
03. Training Process Tuning.wmv	3.0 MB
07. Hybrid Strategy.wmv	3.0 MB
19. Demo EarlyStoppingStrategy.wmv	2.9 MB
18. EarlyStoppingStrategy.wmv	2.9 MB
15. StopTrainingStrategy.wmv	2.6 MB
09. Reset Strategy.wmv	2.2 MB
13. Smart Learning Rate and Smart Momentum Strategy.wmv	2.0 MB
01. Introduction.wmv	1.8 MB
05. Greedy Strategy.wmv	1.6 MB
17. Demo StopTrainingStrategy.wmv	1.5 MB
02. Outline.wmv	633.1 KB
/07. Feedback Networks/
08. Demo Elman Network.wmv	12.8 MB
03. Feedback Networks.wmv	6.1 MB
04. Elman Network.wmv	5.1 MB
09. Jordan Network.wmv	3.4 MB
05. Temporal XOR Problem.wmv	2.6 MB
11. Demo Jordan Network.wmv	2.3 MB
07. Elman Network in ENCOG.wmv	2.2 MB
10. Jordan Network in ENCOG.wmv	1.9 MB
13. Summary .wmv	1.5 MB
06. Elman Network Training.wmv	1.3 MB
12. Applications of Recurrent Networks.wmv	1.2 MB
01. Introduction.wmv	1.1 MB
02. Outline.wmv	824.4 KB
/08. Course Summary/
02. Summary.wmv	7.9 MB
03. Next Course Glimpse.wmv	1.2 MB
01. Introduction.wmv	370.1 KB
/04. Neural Network Architectures Overview/
05. Architectural Tree.wmv	7.5 MB
04. Why So Many .wmv	5.7 MB
03. Type of Network Covered.wmv	3.1 MB
06. Summary.wmv	1.5 MB
01. Introduction.wmv	740.7 KB
02. Outline.wmv	555.4 KB
/06. Feed Forward Network - Part 2/
12. RBF Network in ENCOG.wmv	7.2 MB
09. RBF Network Implementation.wmv	7.2 MB
10. XOR Problem using RBF.wmv	6.9 MB
07. RBF (Radial Basis Function) Network.wmv	6.5 MB
08. Radial Basis Function Calculation.wmv	6.0 MB
05. Multi Layer Perceptron in ENCOG.wmv	5.8 MB
06. Demo MLP Network.wmv	5.7 MB
13. Demo RBF Network.wmv	5.4 MB
04. Multi Layer Perceptron.wmv	3.1 MB
03. Non-Linear Neural Networks.wmv	3.0 MB
11. Basic RBF Network Implementation.wmv	2.7 MB
15. Summary.wmv	2.1 MB
02. Outline.wmv	1.2 MB
01. Introduction.wmv	932.0 KB
14. Applications of Feed Forward Networks.wmv	829.4 KB
/01. Course Introduction/
04. Quick Recap.wmv	6.1 MB
01. Introduction.wmv	4.6 MB
03. Course Structure.wmv	3.4 MB
02. Course Scope.wmv	2.4 MB
05. Summary.wmv	1.0 MB
Total files 91