From Zero to ML on Google Cloud Platform (Next Rewind '18)

Опубликовано 15 октября 2018, 19:45

Today we’re seeing revolutionary changes in hardware and software that are democratizing machine learning (ML) and making it accessible to any developer or data scientist. Whether you’re new to ML or you’re already an expert, GCP has a variety of tools to help you. We'll start with the basics: how to use a pre-trained ML model with a single API call. Then you’ll learn how to customize a pre-trained model with AutoML. I’ll end by showing how to train and serve a custom TensorFlow model on GCP.

Original talk by Sara Robinson, Nick Hasty, Zak Akil
Rewind by Sara Robinson

Reference Links:
AutoML product page → bit.ly/auto-ML
ML Engine movies demo → bit.ly/2QQ0K9A
AutoML Vision & NL blog post → bit.ly/2ElrTQD
AutoML Translate blog post → bit.ly/2ymJhyO

Watch full session here → bit.ly/2EkpfL2
Watch more recaps here → bit.ly/NextRewind2018

Watch more Machine Learning & AI sessions here → bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud Platform channel! → bit.ly/GCloudPlatform event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - AI and Machine Learning - AutoML, Cloud - AI and Machine Learning - TensorFlow Enterprise; fullname: Sara Robinson, Nick Hasty, Zak Akil;