Browser-based Models with TensorFlow.js

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Browser-based Models with TensorFlow.js

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Trains and runs machine learning models in the browser using TensorFlow.js, handling data and deployment scenarios

Original Description

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. 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.
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