Deploying TensorFlow Models focuses on taking trained deep learning models and making them available for real-world applications. It covers the complete process of moving models from development to production environments. This training explains how to save, export, and serve TensorFlow models using tools like TensorFlow Serving and REST APIs. It also includes model optimization, versioning, monitoring, and scaling techniques for production workloads. You will learn how organizations integrate TensorFlow models into web, mobile, and cloud-based applications. The course also highlights best practices for building reliable, secure, and high-performance AI deployment pipelines.
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