Developing a notebook that trains a model is only a small fraction of any serious ML project. Data collection before that, and deployment after, are usually more difficult and time-consuming
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There's a new TensorFlow specialization on Coursera: "Data and Deployment". Covers TF.js, TF Lite, TF Serving, and more. ML for the real worldhttps://www.coursera.org/specializations/tensorflow-data-and-deployment …
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Wow thanks for pointing this out! Was looking for a course like this
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Does it cover the customizing the new http://tf.data in tf2?
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#marchholidays are coming
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