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Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Home Page: https://arxiv.org/abs/1607.08316

Lua 14.15% Python 84.56% Makefile 0.18% C++ 1.11%
hyperparameter-optimization deep-learning-algorithms

hord's Introduction

Hi there

Even though I have a public GitHub profile, most of my code these days is paid for and thus closed-source. So I cannot publish here the interesting code that I have most recently written.

Anyway, my programming philosophy is that the aim of programming is to reduce the complexity of a problem and to communicate that clearly to anyone reading the code.

Some of the lessons I learned over the 15 years of professional programming are summarized here: software-development-guidelines

hord's People

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hord's Issues

Is this under any active development?

Read the reddit thread on this, and was very interested in trying it. But I notice there've been no recent commits.
Is it worth using it at this stage?
regards

HORD-ISP

How do you set the initial starting point for HORD-ISP?
I was not able to find any help for this matter in pySOT too.
Can you point out the lines of code which sets the initial starting point?
Sorry, if my issue is already answered in the existing code. I was not able to locate it.
Thanks in advance.

License?

Hi, I am interested in this code and noticed there was no explicit license. Under what conditions may this code be used?

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