ML in Depth 4 - Deploying ML Models

Name: ML in Depth 4 - Deploying ML Models
Channel: Taha Bouhsine
Description: A practical session on deploying machine learning models to production. Covers model serialization, serving with TensorFlow, building API endpoints, optimizing for inference, and the MLOps practices that move a trained model from notebook to real-world application.

@DevMENA MLinDepth

About this Talk

A practical session on deploying machine learning models to production. Covers model serialization, serving with TensorFlow, building API endpoints, optimizing for inference, and the MLOps practices that move a trained model from notebook to real-world application.

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