NuGet info updated, minor tweaks

Author: Sergio0694

NeuralNetwork.NET/Networks/Implementations/ComputationGraphNetwork.cs

@@ -261,7 +261,7 @@ void Backward(IComputationGraphNode node)
                                 {
                                     if (processing.Parent is InputNode)
                                     {
-                                        if (!linked) dy.TryFree();
+                                        if (!linked) dMap[node] = dy; // Notify other branches, if present
                                         return; // No backpropagation required
                                     }
                                     Tensor.New(x.Entities, constant.InputInfo.Size, out Tensor dx);

NeuralNetwork.NET/NeuralNetwork.NET.csproj

@@ -3,23 +3,20 @@
   <PropertyGroup>
     <TargetFramework>netstandard2.0</TargetFramework>
     <RootNamespace>NeuralNetworkNET</RootNamespace>
-    <Version>1.5.1</Version>
+    <Version>2.0.0-beta1</Version>
     <Authors>Sergio Pedri</Authors>
     <Company>Sergio Pedri</Company>
-    <Description>An easy to use CNN library, built from scratch in C# 7.2 for .NET Standard 2.0, with native memory management for better performance and additional GPU support with cuDNN</Description>
+    <Description>A TensorFlow-inspired neural network library built from scratch in C# 7.2 for .NET Standard 2.0, with GPU support through cuDNN and native memory management</Description>
     <Copyright>Copyright (c) 2017 Sergio Pedri</Copyright>
     <PackageLicenseUrl>https://github.com/Sergio0694/NeuralNetwork.NET/blob/master/LICENSE.md</PackageLicenseUrl>
     <PackageProjectUrl>https://github.com/Sergio0694/NeuralNetwork.NET</PackageProjectUrl>
     <PackageIconUrl>https://i.pi.gy/73nG2.png</PackageIconUrl>
     <PackageTags>cnn, neuralnetwork, deeplearning, ai, cuda, csharp, gpu, net, netstandard</PackageTags>
     <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
-    <PackageReleaseNotes>• New optimizers added (Adam, AdaMax, RMSProp, Momentum and more)
-• MNIST, CIFAR-10 and CIFAR-100 datasets added
-• Added APIs to partition a training dataset
-• Added new distance-based accuracy tester
-• APIs refactoring and improvements
-• Bug fixes and speed optimizations</PackageReleaseNotes>
+    <PackageReleaseNotes>• Added computation graph networks (eg. ResNet, Inception)
+• New dataset manipulation APIs
+• Bug fixes and code improvements</PackageReleaseNotes>
   </PropertyGroup>
 
   <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
@@ -38,10 +35,11 @@
     <RestoreProjectStyle>PackageReference</RestoreProjectStyle>
     <AutoGenerateBindingRedirects>true</AutoGenerateBindingRedirects>
     <GenerateBindingRedirectsOutputType>true</GenerateBindingRedirectsOutputType>
-    <AssemblyVersion>1.5.1.0</AssemblyVersion>
+    <AssemblyVersion>2.0.0.0</AssemblyVersion>
     <AssetTargetFallback>
       $(AssetTargetFallback);net45
     </AssetTargetFallback>
+    <FileVersion>2.0.0.0</FileVersion>
   </PropertyGroup>
 
   <ItemGroup>