Production Machine Learning Systems - Português Brasileiro

Coursera MOOC / Non-credit USD 49

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Production Machine Learning Systems - Português Brasileiro

About this course

Neste curso, vamos conhecer os componentes e as práticas recomendadas para criar sistemas de ML com alto desempenho em ambientes de produção. Vamos abordar algumas considerações comuns relacionadas à criação desses sistemas, como treinamento estático e dinâmico, inferência estática e dinâmica, TensorFlow distribuído e TPUs. O objetivo deste curso é conhecer as características de um sistema de ML eficiente, que vão muito além da capacidade de fazer boas previsões.

What you'll learn

understand components of machine learning systems
apply best practices for production environments
implement static and dynamic training and inference
work with distributed TensorFlow and TPUs

Course objectives

learn the characteristics of efficient machine learning systems
explore training and inference techniques

Skills you'll gain

machine learning distributed systems tensorflow production environments best practices tpus ml systems dynamic training static training inference

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