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Live-coding a Machine Learning Model from Scratch

Sara Robinson

出版	O'Reilly Media, Incorporated, 2019
URL	http://books.google.com.hk/books?id=jt9KzQEACAAJ&hl=&source=gbs_api

註釋

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.