January 2025
Intermediate to advanced
698 pages
16h 48m
English
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3.4 Deploying Keras Models to Production
Once you've successfully trained a deep learning model, the next critical phase is deploying it into production. This step is essential for leveraging your model's capabilities in real-world scenarios, enabling it to make predictions and provide valuable insights across various applications. Whether your target platform is a web application, a mobile device, or a cloud-based infrastructure, Keras offers a comprehensive suite of tools and methodologies to facilitate a seamless deployment process.
The journey from a trained model to a fully operational production system typically encompasses several key stages:
- Preserving the trained model in a suitable format for future use and distribution.
- Establishing an ...
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