Troubleshooting Common Issues in Tensorflow tfjs
One of the key benefits of TensorFlow.js is that it allows you to train and build machine learning models directly in the browser, without the need for specialized hardware or software. This makes it easier for developers to build and deploy machine learning applications in the web, and enables a wide range of use cases such as real-time data visualization, user personalization, and online learning.
Troubleshooting Tensorflow tfjs with the Lightrun Developer Observability Platform
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The following issues are the most popular issues regarding this project:
Unable to resolve “@react-native-community/async-storage” from “node_modules\@tensorflow\tfjs-react-native\dist\async_storage_io.js”
It looks like you are trying to use TensorFlow.js with React Native, and you are experiencing an issue with the
@react-native-community/async-storage package. This package is a dependency of
@tensorflow/tfjs-react-native, and it seems that it is not being properly installed or resolved.
One potential solution to this issue would be to try uninstalling and reinstalling the
@react-native-community/async-storage packages. You can do this by running the following commands:
npm uninstall @tensorflow/tfjs-react-native
npm install @tensorflow/tfjs-react-native
npm uninstall @react-native-community/async-storage
npm install @react-native-community/async-storage
If this does not resolve the issue, you may need to check your project’s dependencies and ensure that all required packages are properly installed and configured. It might also be helpful to check the documentation for
@react-native-community/async-storage to see if there are any specific setup instructions or requirements that you need to follow.
More issues from Tensorflow repos
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