Live Coding A Machine Learning Model from Scratch (Google I/O'19)

Опубликовано 8 мая 2019, 18:42

Do you want to build a machine learning model, but not sure where to start? In this session, learn how to start with an empty Colab notebook, code a model using TensorFlow and Keras, train the model live, deploy it to Cloud AI Platform for serving, and use the deployed model to generate predictions from a web app.

Code from this demo: goo.gle/2VS3uKQ
Blog post: goo.gle/2QcLDIs
Qwiklabs: goo.gle/2ITPFU6

Watch more #io19 here:
GCP at Google I/O 2019 Playlist → goo.gle/2ZPLejw
Google I/O 2019 All Sessions Playlist → goo.gle/io19allsessions
Learn more on the I/O Website → google.com/io

Subscribe to the Google Cloud Platform Channel → goo.gle/GCP
Get started at → cloud.google.com/gcp

Speaker(s): Sara Robinson

T81AAF event: Google I/O 2019; re_ty: Publish; product: Cloud - AI and Machine Learning - AI building blocks; fullname: Sara Robinson;