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BT种子名称
Advanced Machine Learning With ENCOG
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BT种子基本信息
种子哈希:
0892d1b84bf2eeb7d77e30d9889e5d8142cc29ad
文档大小:
422.4 MB
文档个数:
91
个文档
下载次数:
668
次
下载速度:
极快
收录时间:
2020-02-05
最近下载:
2024-10-08
DMCA/屏蔽:
DMCA/屏蔽
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文档列表
02. Network Tuning - Part 1/11. Demo XAML Code.wmv
27.1 MB
02. Network Tuning - Part 1/12. Demo Core Steps-Shuffle, Segregate, Normalize and Prune.wmv
23.3 MB
02. Network Tuning - Part 1/13. Demo Core Steps-Train.wmv
19.0 MB
02. Network Tuning - Part 1/14. Demo Observations.wmv
18.2 MB
05. Feed Forward Network - Part 1/09. Demo Adaline Network.wmv
17.0 MB
advanced-machine-learning-encog.zip
14.6 MB
03. Network Tuning - Part 2/08. Demo Hybrid Strategy.wmv
14.3 MB
07. Feedback Networks/08. Demo Elman Network.wmv
12.8 MB
05. Feed Forward Network - Part 1/05. Linear Versus Non-Linear.wmv
12.8 MB
02. Network Tuning - Part 1/04. Underfitting And Overfitting.wmv
8.3 MB
08. Course Summary/02. Summary.wmv
7.9 MB
02. Network Tuning - Part 1/05. Selection of Layers and Neurons.wmv
7.5 MB
04. Neural Network Architectures Overview/05. Architectural Tree.wmv
7.5 MB
06. Feed Forward Network - Part 2/12. RBF Network in ENCOG.wmv
7.2 MB
06. Feed Forward Network - Part 2/09. RBF Network Implementation.wmv
7.2 MB
06. Feed Forward Network - Part 2/10. XOR Problem using RBF.wmv
6.9 MB
06. Feed Forward Network - Part 2/07. RBF (Radial Basis Function) Network.wmv
6.5 MB
07. Feedback Networks/03. Feedback Networks.wmv
6.1 MB
01. Course Introduction/04. Quick Recap.wmv
6.1 MB
06. Feed Forward Network - Part 2/08. Radial Basis Function Calculation.wmv
6.0 MB
03. Network Tuning - Part 2/06. Demo Greedy Strategy.wmv
6.0 MB
06. Feed Forward Network - Part 2/05. Multi Layer Perceptron in ENCOG.wmv
5.8 MB
03. Network Tuning - Part 2/16. Demo Basic Stop Strategies.wmv
5.7 MB
04. Neural Network Architectures Overview/04. Why So Many .wmv
5.7 MB
06. Feed Forward Network - Part 2/06. Demo MLP Network.wmv
5.7 MB
06. Feed Forward Network - Part 2/13. Demo RBF Network.wmv
5.4 MB
02. Network Tuning - Part 1/08. ENCOG Support for Pruning.wmv
5.2 MB
07. Feedback Networks/04. Elman Network.wmv
5.1 MB
02. Network Tuning - Part 1/10. Demo Introduction.wmv
5.0 MB
01. Course Introduction/01. Introduction.wmv
4.6 MB
02. Network Tuning - Part 1/06. Why Network Pruning .wmv
4.2 MB
03. Network Tuning - Part 2/11. Required Improvement Strategy.wmv
4.1 MB
03. Network Tuning - Part 2/14. Demo Smart Learning Rate and Smart Momentum Strategy.wmv
4.0 MB
03. Network Tuning - Part 2/10. Demo Reset Strategy.wmv
3.8 MB
02. Network Tuning - Part 1/03. Network Tuning.wmv
3.7 MB
05. Feed Forward Network - Part 1/03. Feed Forward Networks.wmv
3.6 MB
02. Network Tuning - Part 1/09. Training, Cross Validation and Test Dataset.wmv
3.6 MB
01. Course Introduction/03. Course Structure.wmv
3.4 MB
07. Feedback Networks/09. Jordan Network.wmv
3.4 MB
03. Network Tuning - Part 2/04. ENCOG Training Strategies.wmv
3.4 MB
03. Network Tuning - Part 2/20. Summary.wmv
3.3 MB
03. Network Tuning - Part 2/12. Demo Required Improvement Strategy.wmv
3.2 MB
06. Feed Forward Network - Part 2/04. Multi Layer Perceptron.wmv
3.1 MB
04. Neural Network Architectures Overview/03. Type of Network Covered.wmv
3.1 MB
03. Network Tuning - Part 2/03. Training Process Tuning.wmv
3.0 MB
05. Feed Forward Network - Part 1/12. Demo Perceptron Network.wmv
3.0 MB
03. Network Tuning - Part 2/07. Hybrid Strategy.wmv
3.0 MB
06. Feed Forward Network - Part 2/03. Non-Linear Neural Networks.wmv
3.0 MB
03. Network Tuning - Part 2/19. Demo EarlyStoppingStrategy.wmv
2.9 MB
03. Network Tuning - Part 2/18. EarlyStoppingStrategy.wmv
2.9 MB
06. Feed Forward Network - Part 2/11. Basic RBF Network Implementation.wmv
2.7 MB
03. Network Tuning - Part 2/15. StopTrainingStrategy.wmv
2.6 MB
07. Feedback Networks/05. Temporal XOR Problem.wmv
2.6 MB
05. Feed Forward Network - Part 1/11. Perceptron Network in ENCOG.wmv
2.4 MB
01. Course Introduction/02. Course Scope.wmv
2.4 MB
05. Feed Forward Network - Part 1/08. Adaline Network in ENCOG.wmv
2.3 MB
07. Feedback Networks/11. Demo Jordan Network.wmv
2.3 MB
03. Network Tuning - Part 2/09. Reset Strategy.wmv
2.2 MB
07. Feedback Networks/07. Elman Network in ENCOG.wmv
2.2 MB
02. Network Tuning - Part 1/15. Summary.wmv
2.2 MB
06. Feed Forward Network - Part 2/15. Summary.wmv
2.1 MB
02. Network Tuning - Part 1/01. Introduction.wmv
2.0 MB
05. Feed Forward Network - Part 1/10. Perceptron Network.wmv
2.0 MB
03. Network Tuning - Part 2/13. Smart Learning Rate and Smart Momentum Strategy.wmv
2.0 MB
07. Feedback Networks/10. Jordan Network in ENCOG.wmv
1.9 MB
03. Network Tuning - Part 2/01. Introduction.wmv
1.8 MB
03. Network Tuning - Part 2/05. Greedy Strategy.wmv
1.6 MB
05. Feed Forward Network - Part 1/13. Summary.wmv
1.6 MB
05. Feed Forward Network - Part 1/07. Adaline Network.wmv
1.6 MB
04. Neural Network Architectures Overview/06. Summary.wmv
1.5 MB
03. Network Tuning - Part 2/17. Demo StopTrainingStrategy.wmv
1.5 MB
02. Network Tuning - Part 1/07. About Pruning.wmv
1.5 MB
07. Feedback Networks/13. Summary .wmv
1.5 MB
05. Feed Forward Network - Part 1/06. Linear Neural Networks.wmv
1.3 MB
07. Feedback Networks/06. Elman Network Training.wmv
1.3 MB
05. Feed Forward Network - Part 1/04. Input Output Mapping.wmv
1.3 MB
02. Network Tuning - Part 1/02. Outline.wmv
1.2 MB
06. Feed Forward Network - Part 2/02. Outline.wmv
1.2 MB
08. Course Summary/03. Next Course Glimpse.wmv
1.2 MB
07. Feedback Networks/12. Applications of Recurrent Networks.wmv
1.2 MB
07. Feedback Networks/01. Introduction.wmv
1.1 MB
01. Course Introduction/05. Summary.wmv
1.0 MB
05. Feed Forward Network - Part 1/01. Introduction.wmv
973.8 kB
05. Feed Forward Network - Part 1/02. Outline.wmv
932.0 kB
06. Feed Forward Network - Part 2/01. Introduction.wmv
932.0 kB
06. Feed Forward Network - Part 2/14. Applications of Feed Forward Networks.wmv
829.4 kB
07. Feedback Networks/02. Outline.wmv
824.4 kB
04. Neural Network Architectures Overview/01. Introduction.wmv
740.7 kB
03. Network Tuning - Part 2/02. Outline.wmv
633.1 kB
04. Neural Network Architectures Overview/02. Outline.wmv
555.4 kB
08. Course Summary/01. Introduction.wmv
370.1 kB
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种子标签
Machine
Learning
Advanced
ENCOG
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