December 2019
Beginner to intermediate
39m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Do you want to build a machine learning model, but you aren’t sure where to start? Starting with an empty notebook, Sara Robinson (Google) live-codes a simple neural network in TensorFlow. She then demonstrates how to train and serve the model on Google Cloud Platform and uses the deployed model to generate predictions from a web app.
Prerequisite knowledge
- A basic knowledge of Python and machine learning concepts, such as training and serving (but not necessarily how to build a model on your own)
What you'll learn
- Learn how to build a simple neural network
- Understand the end-to-end ML workflow and how to use your trained model for generating predictions
This session was recorded at the 2019 O'Reilly Open Source Software conference in Portland.
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