project “deep water” (h2o integration with other deep learning libraries - jo-fai (joe) chow,...
TRANSCRIPT
Deep Water
Jo-fai (Joe) Chow
Data Scientist
@matlabulous
Data Science Milan
Politecnico di Milano
10th October, 2016
Agenda
• First Talk (25 mins)o About H2O.aio Demo
• A Simple Classification Task• H2O’s Web Interface
o Why H2O?• Our Community• Our Customers
o What’s Next?• New H2O Features
• Second Talk (25 mins)o H2O for IoT
• Predictive Maintenance• Anomaly Detection• H2O’s R Interface
• Third Talk (25 mins)o Deep Watero Demo
• H2O + mxnet on GPU• H2O’s Python Interface
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Deep Learning in H2O
H2O Overview
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A Simple Neural Network
5Image credit: http://cs231n.github.io/
H2O Deep Learning in Action
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H2O Deep Learning Community Quotes
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Why Deep Water?
D e e p Wa te r : N ex t - G e n D e e p L e a r n i n g i n H 2 O
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D e e p W a t e r o p e n s t h e F l o o d g a t e s f o r S t a t e - o f - A r t D e e p L e a r n i n g
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D e e p W a t e r o p e n s t h e F l o o d g a t e s f o r S t a t e - o f - A r t D e e p L e a r n i n g
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Deep Water Demo
Deep Water Demo
• H2O + mxnet o Dataset:
• Cat / Dog / Mouse
o H2O Python interface
o mxnet GPU backend
o Train a LeNet (CNN) model
o Explore model in Flow
• Code and Datao bit.ly/h2o_milan_1
o subfolder• deep_water_demo
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Data – Cat/Dog /Mouse Images
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Data - CSV
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H2O + mxnet Demo
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bit.ly/h2o_milan_1Subfolder: deep_water_demo
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“htop”(monitoring CPU/RAM)
“gpustat”(monitoring GPU)
“java –jar h2o.jar”H2O JVM Cluster
Deep Water Edition
“python demo_01_lenet.py”Python script for demo
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H2O’s Python Module
Deep Water module
Connect to H2O Cluster
Import CSV
Define LeNet model in Deep Water
Train and show model
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CPU for other tasks Using GPU for LeNetmodel training
H2O JVM Cluster
“python demo_01_lenet.py”Training LeNet Model
Note: H2O’s JVM on GPU
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“python demo_01_lenet.py”Showing LeNet Model
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Using Flow (localhost:54321) to explore data frame and model
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Using Flow (localhost:54321) to explore data frame and model
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Using Flow (localhost:54321) to split data and train Deep Water model
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Using Flow to train Deep Water Model
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Using Flow to train Deep Water Model
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Choosing Different Network Structure
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Choosing Different Backend
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Training Deep Water Models without Programming
H2O’s Mission
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Making Machine Learning Accessible to Everyone
Photo credit: Virgin Media
Grazie mil le!
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• Data Science Milan
• Gianmario Spacagna
• Politecnico di Milano
• Resourceso bit.ly/h2o_milan_1
o www.h2o.ai
o docs.h2o.ai
• Contacto [email protected]
o @matlabulous
o github.com/woobe