【京都開催】MACHINE LEARNING Meetup KANSAI #1 - connpass https://mlm-kansai.connpass.com/event/81815/ での講演資料です

1. Clova
Keigo Hattori, Clova Center

2. @keigohtr
Keigo Hattori
keigohtr
Who I am
Keigo Hattori
Software Engineer
2009
2009~2017
2017 ~ LINE
x

3. • Clova
•
Agenda

4. 1. Clova
2. Clova ML
( )
3. LINE
(We are hiring. Welcome ML engineer!)

5. Clova
Clova

7. Unique Feature
• LINE
•
•
• (WAVE )

8. • Clova
•
Agenda

9. Clova

10. SVM
Deep LearningMachine Learning
Keras
Chainer
Caffe
scikit-learn
gensim
logistic regression
Random Forest
Neural Network
Perceptron
libsvm
liblinear
Theano

11. JupyterLab
TensorBoard ChainerUI

13. •
→
•
→
•
→
•
→
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→

14. Clova
Drucker ( )

15. Three features of Drucker
• Easy to serve
• Easy to management
• Easy to integrate

16. Drucker: Easy to serve
Write your algorithm on Drucker
template
Features
• Do not need to write proto
(grpc proto)
• Input/Output format is
determined but flexible
• Any algorithms are availble

17. Drucker: Easy to management
Use Drucker web interface
Features
• Upload the latest model
• Switch the models
• Evaluate the performance

18. Drucker: Easy to integrate
Integrate in the same manner
Features
• Do not need to write proto
(grpc proto)
• Input/Output format is
determined but flexible

20. Drucker on Kubernetes
Kubernetes
• Rolling update
• Alive monitoring
Cloud Storage for ML model
• Auto replication
• Sync files on all servers
Cloud DB for model name
• Save model filename for
each environment (dev/prod)

21. @keigohtr
Keigo Hattori
keigohtr
Keigo Hattori
@line_clova #Clova
LINE Clova
http://clova-blog.line.me/ja/

22. THANK YOU