Machine Learning at Google ScaleML APIs and TensorFlow

Michel Pereira

Google Cloud Customer Engineer

@michelpereira@

What is Neural Network and Deep Learning

Neural Network is a function that can learn

How about this?

More hidden layers = More hierarchies of features

How about this?

We need to go deeper neural network

From: Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations, Honglak Lee et al.

Machine Learning use casesat Google services

12

signalfor Search ranking,

out of hundreds

improvementto ranking quality

in 2+ years

#3 #1

Search

machine learning for search engines

RankBrain: a deep neural network for search ranking

13

[glacier]

Google Photos

13

14

Smart reply in Inbox by Gmail

10%of all responses sent on mobile

Google Translate with Neural Machine Translation

16

AndroidAppsGmailMapsPhotosSpeechSearchTranslationYouTubeand many others ...

Used across products:

2012 2013 2014 2015

Deep Learning usage at Google

Externalizing the powerwith ML APIs

TensorFlow Cloud Machine Learning ML API

Easy-to-Use, for non-ML engineers

Customizable, for Data Scientists

Machine Learning products from Google

Image analysis with pre-trained models

No Machine Learning skill required

REST API: receives an image and returns a JSON

$1.50 per 1,000 units

GA - cloud.google.com/vision

Cloud Vision API

Confidential & ProprietaryGoogle Cloud Platform 20

FacesFaces, facial landmarks, emotions

OCRRead and extract text, with support for > 10 languages

LabelDetect entities from furniture to transportation

LogosIdentify product logos

Landmarks & Image PropertiesDetect landmarks & dominant color of image

Safe SearchDetect explicit content - adult, violent, medical and spoof

2121

Demo

Pre-trained models. No ML skill required

REST API: receives audio and returns texts

Supports 80+ languages

Streaming or non-streaming

Public Beta - cloud.google.com/speech

Cloud Speech API

Confidential & ProprietaryGoogle Cloud Platform 23

Features

Automatic Speech Recognition (ASR) powered by deep learning neural networking to power your applications like voice search or speech transcription.

Recognizes over 80 languages and variants with an extensive vocabulary.

Returns partial recognition results immediately, as they become available.

Filter inappropriate content in text results.

Audio input can be captured by an application’s microphone or sent from a pre-recorded audio file. Multiple audio file formats are supported, including FLAC, AMR, PCMU and linear-16.

Handles noisy audio from many environments without requiring additional noise cancellation.

Audio files can be uploaded in the request and, in future releases, integrated with Google Cloud Storage.

Automatic Speech Recognition Global Vocabulary Inappropriate Content Filtering

Streaming Recognition

Real-time or Buffered Audio Support Noisy Audio Handling Integrated API

2424

Demo

Pre-trained models. No ML skill required

REST API: receives text and returns analysis results

Supports English, Spanish and Japanese

GA - cloud.google.com/natural-language

Cloud Natural Language API

Confidential & ProprietaryGoogle Cloud Platform 26

Features

Extract sentence, identify parts of speech and create dependency parse trees for each sentence.

Identify entities and label by types such as person, organization, location, events, products and media.

Understand the overall sentiment of a block of text.

Syntax Analysis Entity Recognition

Sentiment Analysis

2727

Demo

Pre-trained models. No ML skill required

REST API: receives text and returns translated text

8 languages: English to Chinese, French, German, Japanese, Korean, Portuguese, Spanish, Turkish

Public Beta - cloud.google.com/translate

Cloud Translation API Premium

2929

Demo

Video analysis with pre-trained models

No Machine Learning skill required

REST API: receives a video and returns a JSON

Private Beta - cloud.google.com/video-intelligence

Cloud Video Intelligence API

3131

Demo

TensorFlow:An open source library forMachine Intelligence

Google's open source library for

machine intelligence

tensorflow.org launched in Nov 2015

Used by many production ML projects

What is TensorFlow?

# define the networkimport tensorflow as tfx = tf.placeholder(tf.float32, [None, 784])W = tf.Variable(tf.zeros([784, 10]))b = tf.Variable(tf.zeros([10]))y = tf.nn.softmax(tf.matmul(x, W) + b)

# define a training stepy_ = tf.placeholder(tf.float32, [None, 10])xent = -tf.reduce_sum(y_*tf.log(y))step = tf.train.GradientDescentOptimizer(0.01).minimize(xent)

TensorBoard: visualization tool

Portable and ScalableTraining on:

Mac/Windows

GPU server

GPU cluster / Cloud

Prediction on:

Android and iOS

RasPi and TPU

Sharing our tools with researchers and developers around the world

repositoryfor “machine learning”

category on GitHub

#1

Released in Nov. 2015

From: http://deliprao.com/archives/168

TensorFlow community and ecosystem

From: https://www.qualcomm.com/news/snapdragon/2017/01/09/tensorflow-machine-learning-now-optimized-snapdragon-835-and-hexagon-682

Enterprise

Google Cloud is

The Datacenter as a Computer

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//Entre em goo.gl/cWXaaE e cadastre-se para receber mais informações.

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Thank you!