#torchsharp search results

Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

dotnet's tweet image. Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

TensorFlow .NETとTorchSharpの両方を使った感想。 どちらもONNX出力の正式対応してないが、TorchSharpの方が使いやすく、ONNX出力時のパラメータ取り回し(内部パラメータの抽出)も楽。 今後はTorchSharp中心で開発予定。 (ML .NETはRuntimeとして使う) #TensorFlow #TorchSharp


TorchSharpで構築したモデルをONNX形式で出力するところまでは学んだ。 ONNXを直接出力する手段が提供されていなかったので、ONNXのprotoからCS用の定義コードを作って そこから直接ProtBufのシリアライズをしました。 誰かONNX出力パッケージを作ってくれないかな。 #torchsharp #onnx


TensorFlow .NETとML .NETを使っていていたのに TorchSharpを使っていないのは、まずいと思い TorchSharpも使った実装を勉強する。 #TensorFlow #mldotnet #torchsharp


Wowza! This is huge news. No longer is pytorch constraint by Cuda. This also means that you don't have to recompile pytorch from source if you have relatively older gpu. Can't wait to test it out. Now I wonder if #Torchsharp #dotnet would support this to enable awesome C# apps.

The Windows AI team is excited to announce the first preview of DirectML as a backend to PyTorch for training ML models! Head over to our blog to learn more: msft.it/6010XACDs



TensorFlow .NETとTorchSharpの両方を使った感想。 どちらもONNX出力の正式対応してないが、TorchSharpの方が使いやすく、ONNX出力時のパラメータ取り回し(内部パラメータの抽出)も楽。 今後はTorchSharp中心で開発予定。 (ML .NETはRuntimeとして使う) #TensorFlow #TorchSharp


TorchSharpで構築したモデルをONNX形式で出力するところまでは学んだ。 ONNXを直接出力する手段が提供されていなかったので、ONNXのprotoからCS用の定義コードを作って そこから直接ProtBufのシリアライズをしました。 誰かONNX出力パッケージを作ってくれないかな。 #torchsharp #onnx


TensorFlow .NETとML .NETを使っていていたのに TorchSharpを使っていないのは、まずいと思い TorchSharpも使った実装を勉強する。 #TensorFlow #mldotnet #torchsharp


Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

dotnet's tweet image. Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

Wowza! This is huge news. No longer is pytorch constraint by Cuda. This also means that you don't have to recompile pytorch from source if you have relatively older gpu. Can't wait to test it out. Now I wonder if #Torchsharp #dotnet would support this to enable awesome C# apps.

The Windows AI team is excited to announce the first preview of DirectML as a backend to PyTorch for training ML models! Head over to our blog to learn more: msft.it/6010XACDs



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Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

dotnet's tweet image. Today's .NET AI Community Standup session replay highlights the power of .NET #ASPNET, ONNX Runtime, and #TorchSharp in a production environment and provides valuable insights for developers and enthusiasts. 🎥 msft.it/6012lp4GG

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