{"id":4670,"date":"2019-12-18T08:00:02","date_gmt":"2019-12-18T02:30:02","guid":{"rendered":"https:\/\/www.upnxtblog.com\/?p=4670"},"modified":"2020-05-05T09:24:15","modified_gmt":"2020-05-05T03:54:15","slug":"tensorflow-data-and-deployment-specialization-from-deeplearning-ai","status":"publish","type":"post","link":"https:\/\/www.upnxtblog.com\/index.php\/2019\/12\/18\/tensorflow-data-and-deployment-specialization-from-deeplearning-ai\/","title":{"rendered":"TensorFlow: Data and Deployment Specialization from deeplearning.ai"},"content":{"rendered":"
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We have already looked at TOP 100 Coursera Specializations<\/a><\/strong> and today we will check out TensorFlow: Data and Deployment Specialization from deeplearning.ai.<\/p>\n

Coursera Specialization<\/strong> is a series of courses that help you master a skill. To begin, you can enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you\u2019re automatically subscribed to the full Specialization. You can either complete just one course or you can pause your learning or end your subscription at any time.<\/p>\n

In this four-course Specialization, you\u2019ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, use APIs to control how data splitting, and process all types of unstructured data. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.<\/p>\n

Industries all around the world are adopting AI. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.<\/p>\n

This Specialization builds upon our TensorFlow in Practice Specialization<\/a>.<\/strong> If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization<\/a>.<\/p>\n

\"Click<\/a>
Click to Enroll!<\/figcaption><\/figure>\n

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What will you learn<\/h2>\n