Use GPU to run MNIST (LeNet-5 model) using pytorch and tensorflow respectively [you can get a preliminary understanding of the conversion between tnesorflow and pytorch] - Code World

Use GPU to run MNIST (LeNet-5 model) using pytorch and tensorflow respectively [you can get a preliminary understanding of the conversion between tnesorflow and pytorch]

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Origin blog.csdn.net/djdjdhch/article/details/130435960

Use GPU to run MNIST (LeNet-5 model) using pytorch and tensorflow respectively [you can get a preliminary understanding of the conversion between tnesorflow and pytorch]

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Используйте графический процессор для запуска MNIST (модель LeNet-5), используя pytorch и tensorflow соответственно [вы можете получить предварительное представление о преобразовании между tnesorflow и pytorch]

Wu Yuxiong - inherently high natural TensorFlow Package: TFLearn processing using data sets achieved MNIST LeNet-5 model

Use GPU para ejecutar MNIST (modelo LeNet-5) usando pytorch y tensorflow respectivamente [puede obtener una comprensión preliminar de la conversión entre tnesorflow y pytorch]

Use GPU para executar MNIST (modelo LeNet-5) usando pytorch e tensorflow respectivamente [você pode obter uma compreensão preliminar da conversão entre tnesorflow e pytorch]

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Based on Pytorch, using GPU to run the model method and possible problem solving methods

Utilisez GPU pour exécuter MNIST (modèle LeNet-5) en utilisant respectivement pytorch et tensorflow [vous pouvez avoir une compréhension préliminaire de la conversion entre tnesorflow et pytorch]

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