Description: This my first implementation of gradient descent algorithm in which I will write about the evolution of neural networks. I will start with the most simple network of all, the Single Layer Perceptron, and work through different architectures and learning methods which will eventually lead to networks that can predict stock market price movements, perform face recognition, handle natural language processing and much more.
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File list (Check if you may need any files):
myGradientDescent\myGradientDescent.sln
.................\myGradientDescent.suo
.................\myGradientDescent
.................\.................\bin
.................\.................\...\Debug
.................\.................\...\.....\blood.txt
.................\.................\...\.....\in.txt
.................\.................\...\.....\myGradientDescent.exe
.................\.................\...\.....\myGradientDescent.pdb
.................\.................\...\.....\myGradientDescent.vshost.exe
.................\.................\...\.....\myGradientDescent.vshost.exe.manifest
.................\.................\myGradientDescent.csproj
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.................\.................\...\x86
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.................\.................\...\...\.....\DesignTimeResolveAssemblyReferencesInput.cache
.................\.................\...\...\.....\myGradientDescent.csproj.FileListAbsolute.txt
.................\.................\...\...\.....\myGradientDescent.exe
.................\.................\...\...\.....\myGradientDescent.pdb
.................\.................\...\...\.....\ResolveAssemblyReference.cache
.................\.................\...\...\.....\TempPE
.................\.................\Program.cs
.................\.................\Properties
.................\.................\..........\AssemblyInfo.cs
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