What are the best strategies for deploying TensorFlow.js models?
There are several effective strategies for deploying TensorFlow.js models, including using CDN for hosting, optimizing models for performance, and leveraging server-side rendering.
Can you explain how to optimize models for performance?
Sure! You can optimize models by reducing their size through quantization, pruning unnecessary layers, and using efficient data formats.
What is the role of a CDN in deployment?
A CDN, or Content Delivery Network, helps in delivering your models quickly to users by caching them in multiple locations around the world.
Are there any specific tools for monitoring model performance?
Yes, tools like TensorBoard and custom logging solutions can help you monitor the performance of your deployed models.
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