Introduction to Neural Networks for Java(Class 3/16, Part 1/5) - hopfield

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Uploaded by on Jan 31, 2009

Learn Neural Net Programming: http://www.heatonresearch.com/course/intro-neural-nets-java
In class session 3, part 1 we will look at the structure of the Hopfield neural network. The hopfield neural network is a simple neural network made up of bipolar numbers. Artificial intelligence online course presented by Jeff Heaton, Heaton Research.

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  • Mr. Jeff Heaton, I really need some help. How is the threshold value used in the sigmoid activation function in encog workbench? I thought sigmoid doesn't have a threshold.

  • The threshold value is held as part of the weight matrix. It is added to the calculation for that neuron, and then fed to the activation function, which can be TANH, Sigmoid, etc.

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  • Is it possible to explain the difference between asynchronous weight matrix and synchronous weight matrix update in your algorithms for hopfield neural networks ?

  • Thanks very much!

  • Very good, thanks por the vids!

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