Novedades presentadas por Google en materia de Machine Learning en el Google Next'18 celebrado en San Francisco.

1. Alberto García-Raboso
Google Cloud Technology Manager
www.linkedin.com/in/agraboso/
agraboso@opensistemas.com

3. Three days
Over 500 talks, bootcamps
and breakout sessions
More than 25,000 registrants
Tons of announcements

5. Your ML models on

6. Cloud Machine
Learning Engine
cloud.google.com/ml-engine

7. Train your models at scale
Cloud Machine
Learning Engine
● Write your model using the Dataset and Estimator APIs
● Stage it in Cloud Storage
● Store training and evaluation datasets in Cloud Storage
● Configure your cluster (CPU, memory, GPU/TPU) — can
also run in local mode
● Write your checkpoints to Cloud Storage
● Tune the hyperparameters of your model1
● Monitor from the Google Cloud Console, Stackdriver
Logging, TensorBoard and the command-line
1
http://bit.ly/mle-hypertune

8. Host your trained model on the cloud
● Online prediction with serverless, fully-managed hosting
● Batch prediction at scale
● Manage deployed models and versions
● Restrict and audit access to your deployed models
● Monitor your predictions in Stackdriver Logging
Cloud Machine
Learning Engine

9. ●
●
●
Execution engines
Cloud Machine
Learning Engine
NEW
NEW

10. Cloud TPU
cloud.google.com/tpu

11. CPU GPU TPU

12. — 180 teraflops General Availability
NEW

13. — 180 teraflops General Availability
NEW

14. http://bit.ly/bench-tpuv2

15. — 11.5 petaflops

16. — 420 teraflops Available in Alpha
NEW

17. — 100 petaflops
http://bit.ly/tpu-tearapart

18. Your ML models beyond

19. Edge TPU
cloud.google.com/edge-tpu
NEW

20. — coming soon

21. — coming soon

22. Cloud IoT Edge
cloud.google.com/iot-edge
NEW

23. AI models optimized
for Edge
Training
& inference
AI
TensorFlow Lite
& Android NN API
Cloud IoT Edge Cloud AI & servicesSoftware
Edge Cloud
CPUs, GPUs
Hardware
CPUs, GPUs
Cloud TPU
AI models
Edge TPU

24. NEW

25. ML arrives to BigQuery

26. Google BigQuery
cloud.google.com/bigquery

27. BigQuery ML
● Petabyte-scale, fast linear and binary logistic regression
● SQL-like language:
○ CREATE MODEL
○ ML.EVALUATE, ML.ROC_CURVE
○ ML.PREDICT
● Automatic learning rate adjustment
● L1
and/or L2
regularization
● Batch prediction within BigQuery
● Exportable models1
:
○ ML.WEIGHTS
○ ML.FEATURE_INFO
BigQuery
NEW
1
http://bit.ly/bqml-online

28. Training a model
CREATE MODEL `bqml_tutorial.natality_model`
OPTIONS (model_type='linear_reg',
input_label_cols=['weight_pounds']) AS
SELECT weight_pounds,
is_male,
gestation_weeks,
mother_age,
CAST(mother_race AS STRING) AS mother_race
FROM `bigquery-public-data.samples.natality`
WHERE weight_pounds IS NOT NULL
BigQuery

29. SELECT * FROM
ML.EVALUATE(
MODEL `bqml_tutorial.natality_model`, (
SELECT weight_pounds,
is_male,
gestation_weeks,
mother_age,
CAST(mother_race AS STRING) AS mother_race
FROM `bigquery-public-data.samples.natality`
WHERE weight_pounds IS NOT NULL)
)
BigQuery
Returns: mean_absolute_error, mean_squared_error, mean_squared_log_error,
median_absolute_error, r2_score, explained_variance
Evaluating a model

30. Getting predictions from a model
SELECT predicted_weight_pounds FROM
ML.PREDICT(
MODEL `bqml_tutorial.natality_model`, (
SELECT is_male,
gestation_weeks,
mother_age,
CAST(mother_race AS STRING) AS mother_race
FROM `bigquery-public-data.samples.natality`
WHERE state = "WY")
)
BigQuery

31. Pretrained ML models

32. Cloud Vision API
cloud.google.com/vision

34. Face detection

36. Face detection

38. Label detection

39. Optical Character Recognition

41. Web detection

43. Safe search

44. ● Image properties (dominant colors, crop hints)
● Landmark recognition
● Handwriting recognition
● Object detection
● General availability
● Additional file types: PDF and TIFF
Cloud Vision API
Other features
NEW
NEW
NEW
NEW

45. Cloud
Speech-to-Text
Cloud Video
Intelligence API
Cloud Natural
Language API
Cloud
Translation API
● Language identification
● Word-level confidence scores
● Multi-participant recognition
Cloud
Text-to-Speech
● DeepMind WaveNet voices
● Output channel optimization
Other pretrained models
NEW
NEW
NEW
NEW
NEW

46. Cloud Auto ML
cloud.google.com/automl
NEW

47. ● Based on transfer learning and neural architecture search
● Prediction available from REST APIs
● For (beta): domain-specific translated pairs
● For (beta): predict domain-specific
categories (single or multi-label classification)
● For (beta): detect custom objects or predict
domain-specific labels
Cloud Auto ML
Add your domain-specific knowledge

48. Conversational AI

49. DialogFlow
Enterprise Edition
cloud.google.com/dialogflow-enterprise

50. ● Phone Gateway (beta): assign a phone number to a virtual
agent, with speech recognition, speech synthesis and
natural language understanding
● Knowledge Connectors (beta): understand unstructured
documents like FAQs or knowledge base articles and
complement your pre-built intents
● Automatic Spelling Correction (beta)
● Sentiment Analysis (beta)
● Text-to-Speech (beta)
● Enables
DialogFlow
Enterprise Edition
Interact via natural language
NEW

51. Alberto García-Raboso
Google Cloud Technology Manager
www.linkedin.com/in/agraboso/
agraboso@opensistemas.com
We’re hiring!