Coursera
MOOC / Non-credit
0
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.
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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
Machine Learning
#machine learning
#distributed systems
#tensorflow
#production environments
#best practices
#tpus
#ml systems
#dynamic training
#static training
#inference
$49.00
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