1 Preliminaries 3 1.1 A Bit of History 4 1.2 Introduction 7 1.3 Motivation 8 1.3.1 Optics 8 1.3.2 Shape of a Liquid Drop 10 1.3.3 Optimization of a River-Crossing Trajectory 12 1.3.4 Summary 14 1.4 Extrema of Functions 14 1.5 Constrained Extrema and
Algorithms for hyper-parameter optimization.pdf，讲述贝叶斯算法的TPE过程的专业论文The contribution of this work is two novel strategies for approximating f by modeling H: a hier
archical Gaussian Process and a tree-structured parzen estimator. These are described in
在不久的将来，深度学习将会取得更多的成功，因为它需要很少的手工工程，它可以很容易受益于可用计算能力和数据量的增加。目前正在为深度神经网络开发的新的学习算法和架构只会加速这一进程。Probability: Foundations
A probability space(Q2, F, P)consists of
a set S2 of"possible outcomes
a set of events. which are subsets of n2
a probability measure P:
Mathematics for Machine Learning，作者是Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong
这本书的书签应该是正确的Contents
List of illustrations
Foreword
Part i Mathematical Foundations
1 Introduction and motivation
11
1.1 Finding Words for Intuitions
12
1.2 Two
The two main physical concepts behind the Frisbee are aerodynamic lift
(or the Bernoulli Principle) and gyroscopic inertia . A spinning frisbee
can be viewed as a wing in free flight with the Bernoulli Principle being
the cause of the lift and the an
