The virtual course "Advanced Implementation Scenarios with TensorFlow - Virtual Course - Coursera", is a course with different contents and offers video classes from . Explore its essential features, and click the orange button for detailed information on the Coursera e-Learning platform.
Bringing a machine learning model into the real world involves much 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 capstone course, you'll explore four different scenarios you'll encounter when implementing models. You will be introduced to TensorFlow Serving, a technology that allows you to make inferences on the web. You'll be taken to the TensorFlow Hub, a repository of models that you can use to transfer your learning. Then, you'll use the TensorBoard to test and understand how your models work, as well as share your model's metadata with others. Finally, you'll explore federated learning and how you can retrain deployed models with user data while maintaining data privacy. This specialization builds on our TensorFlow in Practice specialization. If you are new to TensorFlow, we recommend that you first take the TensorFlow Hands-On Specialization. To develop a deeper and more fundamental understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
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