{"id":129863,"date":"2022-11-18T20:19:12","date_gmt":"2022-11-18T20:19:12","guid":{"rendered":"https:\/\/blog.finxter.com\/?p=903641"},"modified":"2022-11-18T20:19:12","modified_gmt":"2022-11-18T20:19:12","slug":"using-pytorch-to-build-a-working-neural-network","status":"publish","type":"post","link":"https:\/\/sickgaming.net\/blog\/2022\/11\/18\/using-pytorch-to-build-a-working-neural-network\/","title":{"rendered":"Using PyTorch to Build a Working Neural Network"},"content":{"rendered":"\n
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5\/5 – (1 vote) <\/div>\n<\/div>\n
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In this article, we will use PyTorch<\/a> to build a working neural network. Specifically, this network will be trained to recognize handwritten numerical digits using the famous MNIST dataset.<\/p>\n

\"YouTube<\/a>
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The code in this article borrows heavily from the PyTorch tutorial “Learn the Basics”<\/a>. We do this for several reasons. <\/p>\n