{"id":4439,"date":"2022-10-28T09:16:29","date_gmt":"2022-10-28T17:16:29","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=4439"},"modified":"2025-04-24T17:16:49","modified_gmt":"2025-04-24T17:16:49","slug":"improving-the-accuracy-of-your-neural-network","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/improving-the-accuracy-of-your-neural-network\/","title":{"rendered":"Improving The Accuracy Of Your Neural Network"},"content":{"rendered":"\n
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Photo by <\/picture>Preethi Viswanathan<\/a> on <\/picture>Unsplash<\/a><\/div>\n<\/div>\n<\/figure>\n

Neural networks were inspired by neural processing that occurs in the human brain. Though they are a much watered-down version of their human counterpart (our brain), they are extremely powerful. Deep networks have improved computers’ ability to solve complex problems given lots of data. But there are various circumstances in which the accuracy of a network is below par for the task at hand.<\/p>\n

In such scenarios, seeking out methods to improve the performance of the network may be vital for the success of the project. For the remainder of this article, I\u2019m going to cover various techniques you can employ to build better neural networks.<\/p>\n

Do you prefer to watch this tutorial? See Improving the Accuracy of your Neural Network<\/strong><\/a><\/p>\n

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