Bayesian Optimization Theory and Practice Using Python 1st Edition by Peng Liu – Ebook PDF Instant Download/Delivery: 9781484290620 ,1484290623
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Product details:
ISBN 10: 1484290623
ISBN 13: 9781484290620
Author: Peng Liu
Bayesian Optimization Theory and Practice Using Python 1st Edition Table of contents:
1. Bayesian Optimization Overview
2. Gaussian Processes
3. Bayesian Decision Theory and Expected Improvement
4. Gaussian Process Regression with GPyTorch
5. Monte Carlo Acquisition Function with Sobol Sequences and Random Restart
6. Knowledge Gradient: Nested Optimization vs. One-Shot Learning
7. Case Study: Tuning CNN Learning Rate with BoTorch
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Tags: Peng Liu, Bayesian Optimization, Python