Overview
Deep learning deployment is the process of taking a trained deep learning model and making it available for use in real-world applications. This involves preparing the model, choosing the right tools, and integrating it into software systems. Understanding deployment helps you ensure that your models can effectively solve problems and provide value in various industries.
📚 Key Learning Objectives
- ✓ Explain the importance of deep learning deployment.
- ✓ Identify key steps in the deployment process.
- ✓ Choose appropriate tools for model deployment.
- ✓ Integrate a model into a software application.
- ✓ Evaluate the performance of a deployed model.
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