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Deep Learning in C#

Results 25 ConvNetSharp issues
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Bumps [Newtonsoft.Json](https://github.com/JamesNK/Newtonsoft.Json) from 12.0.3 to 13.0.1. Release notes Sourced from Newtonsoft.Json's releases. 13.0.1 New feature - Add JsonSelectSettings with configuration for a regex timeout Change - Remove portable assemblies from...

dependencies

Bumps [Newtonsoft.Json](https://github.com/JamesNK/Newtonsoft.Json) from 12.0.3 to 13.0.1. Release notes Sourced from Newtonsoft.Json's releases. 13.0.1 New feature - Add JsonSelectSettings with configuration for a regex timeout Change - Remove portable assemblies from...

dependencies

Thank you for your great work! I use ConvNetSharp in my product which is built on .NET Framework. This PR will downgrade .NET Standard 2.1 to 2.0 with minimum modification.

Hi Thanks for your great works in ConvNetSharp! I ran your samples and saw that avg. of GPU usage was 15%, how can i use more GPU usage?

I'm looking to make a CNN which concatenates new information in on the first fully connected layer. Am I missing something already included or can you implement this feature? Graph...

new feature

What is the best way to import a model into ConvNetSharp, assuming all the relevant layers exist? Are there any plans on supporting such conversions in the future? Is it...

Is it possible to create network with different outputs kind? For example, some outputs should be probability outputs (using softmax), some should be scalar values (from 0 to 1). If...

Hello! Is it possible to create a segmentation network using your library? As I know, for that I need an unpooling and deconvolutional layers.

new feature

Im trying to create a convolutional network. What am i doing wrong? it seems that there is no difference between training net with larger or smaller number of examples. Also...