By recent release on Google Cloud Platform, Google focus on the era of AI/ML technological change, it lets us bring the powerful machine learning features to the mobile application whether it is for Android/iOS and whether experienced/beginner machine learning developer. The purpose of this topic is to share our use case on how to make your model as serving by bringing it to the cloud.

1. Machine Learning with
TensorFlow on Google Cloud
Platform
DEVDAY 2019
Presented by Thành Quang Lê

2. I. Introduction
1. What is AI/ML ?
2. Why does it matter ?
3. How Google does it
4. Machine Learning on
Google Cloud Platform
II. Components
1. TensorFlow Architecture
2. Build A Regression Model
3. Build A Classification Model
Agenda
III. Q&A

3. Machine Learning is a specific way of solving
AI problems
Artificial Intelligence
Machine Learning
Deep Learning
data algorithm
predictive insight
decision

4. Deep Learning inspried by structure and
function of brain

6. Easy Quiz?
Input: 1, 2, 3, 5, 8, 13, 21, 34, 55
Output: 2, 3, 5, 8, 13, 21, 34, 55, ?
Question: What will be the output value for an input value of
55?
89
Fn = Fn-1 + Fn-2F = C * 1.618 + e-7

7. Another Quiz?
Input: 0, 8, 15, 22, 38
Output: 32, 46.4, 59, 71.6, ?
Question: What will be the output value for an input value of
38?
F = C * 1.8 + 32
100.4

8. Y = a * X + b

9. a a
If ML ishard,it’s
hardforyour
competitorstoo
aMLis a great
differentiator
Most MLvalue
comes along the
way
a
ML improves almost
everything ittouches
Enriching our everyday lives

10. aaa
Google apply AI in all their products
Classify pictures in
GooglePhotos
Smart reply inInbox
Pedestrian detection
Self-drivingcars
Recommendations for the
next video inYoutube
Targeted ads todisplay in
Adwords
Spam detection inGmail

11. Usage of AI at Google
Used across products:
a
Directories containing Deep Learning Models

12. Market Size Prediction
Artificial Intelligence as a Service (AIaaS) is expected to reach $77 billion USD in 2025
(growing at a CAGR of 56.7%)
By Industry
IT & Telecom
Retail
Energy & Utility
Healthcare
Others
Key Players
Alphabet Inc.
Apple Inc.
Amazon Inc.
Facebook Inc.
Others

13. a
Compute
aa
Paradox of choice – Less is more
Big Data
BigQuery
Cloud
Dataflow
Cloud
Dataproc
Cloud
Datalab
Cloud
Pub/Sub
Genomics
Cloud Machine
Learning
Cloud
Vision API
Cloud Speech
API
Cloud Natural
Language API
Cloud
Translation
API
Cloud
Jobs API
App Engine
Compute
Engine
Container
Engine
Container
Registry
Cloud
Functions
Machine Learning

14. AI simple pipeline
Cloud Datalab
Cloud
Storage
Events, Metrics
and so on
Bigtable
Cloud ML
Engine
Applications
and Reports
Data Studio
Dashboards/BI
Co-workers
Cloud
Pub/Sub
Cloud
Dataflow
BigQuery
Stream
Rawlogs, files,
assets, Google
Analytics data and
so on
Batch

15. a
Pre-trained Model
Which one should be choosen?
Cloud Speech-to-Text Cloud Vision
Cloud Text-to-Speech
Cloud Translation Cloud Video Intelligence
Cloud Natural Language
Machine Learning Engine TensorFlow
Custom Model

16. Firebase ML Kit capabilities

17. TensorFlow Architecture
Learn More:
TensorFlow 2.0 Alpha
Roadmap

18. Regression Demo

19. a
Regression predicts numeric value
Fahrenheit
Y
X, b
a
(Celsius)
Y = a * X + b
F = C * 1.8 + 32

20. How does DNN model classify the images?

21. Image classification workflow

22. Classification Demo

23. Classification predicts probability
Probability of each class Sum of all
values == 1 (100%)
Input image (28x28 = 784 pixels)
Dense layer (128 units)
Output (10 units)

24. QUESTIONS
& ANSWER

25. THANK YOU!

26. References
 https://www.tensorflow.org/
 https://firebase.google.com/docs/ml-kit/
 https://www.coursera. com/
 https://www.udacity.com/
 https://machinelearningcoban.com/
 https://developers.google.com/protocol-buffers/docs/overview/
 https://github.com/grpc-ecosystem/awesome-grpc/
 https://code.tutsplus.com/tutorials/rest-vs-grpc-battle-of-the-apis--cms-30711/
 https://cloud.google.com/blog/big-data/2016/03/announcing-grpc-alpha-for-google-cloud-pubsub/
 https://auth0.com/blog/beating-json-performance-with-protobuf/
 https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-
3bd2b1164a53
 https://medium.com/tensorist/classifying-fashion-articles-using-tensorflow-fashion-mnist-f22e8a04728a