Final Project Dicoding : Image Classification Model Deployment
Clasification of 33 types of fruits using sequential Tensorflow model and Conv2D Maxpooling Layer. This dataset consists of 16854 images with a division of 80% train data and 20% test data.Overall after training has a train accuracy of> 92% and validation accuracy> 92%. This shows that the model created is a good fit and in the final stage the model is saved into TF-Lite format.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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The Web framework for perfectionists with deadlines.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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