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About Implement A Simple Neural Network in C# .NET - Part 1
The document describes the initial steps to programmatically implement a simple neural network in C# .NET by defining the necessary classes and components. These include Pulse, Dendrite, Neuron, NeuralLayer and NetworkModel classes to represent the basic neural network elements and overall architecture. Code examples are provided for each class to demonstrate how inputs, weights, activations and network connections are represented. The next steps will involve implementing the training method using backpropagation to demonstrate learning on a sample problem.
Detailed Information
| Author: | ['Eleodor Paul Cirlugea'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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