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Chapter 3: Using a Hopfield Neural Network
- Understanding the Hopfield Neural Network
- Recognizing Patterns
- Using Autoassociation
- Constructing a Neural Network Application
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- Using CUDA
- Changing training data per epoch
- Normalization
- Using HyperNEAT in .net Encog 3.2
- PCA and Gaussian noise in MLP
- Number of weight in Encog
- Unix (OSX, linux, etc.) Command Line examples
- Why encog-dotnet-core-3.1.0 not has HopfieldForm file？
- NN ranks.
- PLZ HELP.....my error rate for training phase is 0.06. but different between ideal and actual is big
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