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tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
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Conversion to flowchart
#19
alexkarargyris
closed
5 months ago
1
Add Chinese version of this document
#18
21zhouyun
closed
5 months ago
7
Fix typos and grammar in README
#17
HighnessAtharva
closed
5 months ago
2
hyper-parameter -> hyperparameter
#16
rasbt
closed
1 year ago
3
Any plan for multi-langauge translated version?
#15
YeonwooSung
closed
1 year ago
1
add turkish language translation version of the book
#13
tanersekmen
closed
5 months ago
2
Add multi-language versions of this playbook
#12
RangeKing
closed
1 year ago
1
Adding some caveats about hyperparameter tuning at large batch sizes
#11
joe-antognini
closed
5 months ago
3
About contributing a paper related to choosing optimizer
#10
minhlong94
closed
3 months ago
3
Add related paper about choosing optimizer
#9
minhlong94
closed
1 year ago
0
Deep learning tuning playbook
#8
piyukr
closed
1 year ago
1
Typo: Missing parenthesis in nesterov momentum
#7
dsuedholt
closed
5 months ago
3
Fix typos in the TOC
#6
w568w
closed
5 months ago
0
Added a PDF version of the Tuning Playbook
#5
Anirudh257
closed
1 year ago
5
Typo in the order of applying Norm and function
#4
madaan
closed
5 months ago
1
Consider recommending scipy.stats.qmc for quasi-Monte Carlo sequence generation
#2
shoyer
opened
1 year ago
4
Answer FAQ question about tuning batch size
#1
cshallue
closed
1 year ago
0
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