Building a serverless ML model
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07.12.19 – 4 9607:50Популярные
18 дней – 3 0860:55
Опубликовано 7 декабря 2019, 7:00
No area of computing today seems hotter or more relevant to solving user challenges at scale than machine learning! But how to separate the ‘how to’ from the hype? And how can I get started if I don’t have oodles of data? Or a big team? Or a bunch of GPUs lying around?! We’ll answer all of these questions (and more!) in easy-to-understand bite-size chunks. Click on the link below to dive into the blog posts for those of you who want to go even further with the end to end data pipeline we’ll show you how to build.
Predicting the price of wine with the Keras Functional API and TensorFlow → goo.gle/2sHSbXI
Watch more Take5 episodes here → goo.gle/2TW5e1f
Remember to subscribe for new updates and releases → goo.gle/GCP
Product:Cloud, Cloud Console Platform, Cloud Machine Learning Engine; fullname:Sara Robinson,Max Saltonstall;
#Take5
Predicting the price of wine with the Keras Functional API and TensorFlow → goo.gle/2sHSbXI
Watch more Take5 episodes here → goo.gle/2TW5e1f
Remember to subscribe for new updates and releases → goo.gle/GCP
Product:Cloud, Cloud Console Platform, Cloud Machine Learning Engine; fullname:Sara Robinson,Max Saltonstall;
#Take5
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