Tag

deep-learning-patterns-and-practices

Training and Deployment Pipeline, Part 2

From Deep Learning Patterns and Practices by Andrew Ferlitsch

This article covers:

Feeding models training data in a production environment.
Scheduling for continuous retraining.
Using version control and evaluating models before and after deployment.
Deploying models for large scale on-demand and batch requests, in both monolithic and distributed deployments.

Training and Deployment Pipeline

From Deep Learning Patterns and Practices by Andrew Ferlitsch

This article covers:

●      Feeding models training data in a production environment.

●      Scheduling for continuous retraining.

●      Using version control and evaluating models before and after deployment.

●      Deploying models for large scale on-demand and batch requests, in both monolithic and distributed deployments.

Machine Learning as a Pipeline

From Deep Learning Patterns and Practices by Andrew Ferlitsch

Like the best software engineering, modern deep learning uses a pipeline architecture based on reusable patterns.

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