2019-04-10 10:54:47 +08:00
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2019-04-11 07:39:43 +08:00
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2019-04-10 10:54:47 +08:00
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2019-04-10 12:41:39 +08:00
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<h2><a href="articles/beginners-tutorial-gradio-mnist-keras.html">Beginner's Tutorial: Creating a Sketchpad for a Keras MNIST Model</a></h2>
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2019-04-10 10:54:47 +08:00
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<h4>Abubakar Abid, April 9, 2019</h4>
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2019-04-10 12:41:39 +08:00
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<img src="img/mnist-sketchpad-screenshot.png"></img>
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2019-04-10 10:54:47 +08:00
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<p>Gradio is a python library that makes it easy to turn your machine learning models into visual interfaces!
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This tutorial shows you how to do that with the "Hello World" of machine learning models: a model that we train
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from scratch to classify hand-written digits on the MNIST dataset. By the end, you will create an interface
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2019-04-10 12:41:39 +08:00
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that allows you to draw handwritten digits and see the results of the classifier in your browser.
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2019-04-10 10:54:47 +08:00
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<a href="articles/beginners-tutorial-gradio-mnist-keras.html">Read more >>.</a></p>
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2019-04-10 12:41:39 +08:00
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<h2>Gradio: A Way to Improve Machine Learning Accessibility</h2>
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2019-04-10 10:54:47 +08:00
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<h4>Gradio Team, April 8, 2019</h4>
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2019-04-10 12:41:39 +08:00
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<img src="img/biased-google-translate.png"></img>
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2019-04-10 10:54:47 +08:00
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<p>Why did we create gradio? In this article, we describe the problems we have experienced with machine learning
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2019-04-10 12:41:39 +08:00
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models, in particular that of <em>accessibility</em>, and why we think gradio can help solve them.
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<a href="articles/beginners-tutorial-gradio-mnist-keras.html">Coming soon.</a></p>
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2019-04-10 10:54:47 +08:00
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