Qwiklabs info session and workshop

1. Qwiklabs + GCP
Online Session

3. 4
Workshop
3
Some Deep
learning Concept
2
Reminder of ML
1
Introduction to
Qwiklabs and GCP
5
Quiz game
Summary

4. Introduction to QwikLabs
What is Qwiklabs?
What is a Quest?
What is a Lab? Gifts

5. Introduction to Google Cloud Platform
Competitors ?
Services ?
VM ?
SSH ?

6. Traditional Programming
if(speed<4){
status=WALKING;
}
if(speed<4){
status=WALKING;
} else {
status=RUNNING;
}
if(speed<4){
status=WALKING;
} else if(speed<12){
status=RUNNING;
} else {
status=BIKING;
}

7. ??????
Traditional Programming

8. Machine Learning

9. Packages

10. A virtual environment is a tool
that helps to keep
dependencies required by
different projects separate by
creating isolated python virtual
environment.

11. Program flow for modeling with Keras

12. I. Create a neural network with Keras
Activation Functions

13. II. Compile the neural network
Loss Functions
measure how
far an
estimated
value is from
its true value.
Example
- Mean
Square
Error
Optimizers are
algorithms used
to change the
attributes of
your neural
network in
order to reduce
the losses.
Example
- Adam
- SGD

14. III. Train the neural network
Epochs ?
Early Stopping ?
Checkpoint ?

15. IV. Evaluate and use the
neural network

16. It is your turn to practice !!

17. Integrate with Machine Learning APIs
Advanced ML: ML Infrastructure
Machine learning APIs
Create ML Models with BigQuery ML
Intermediate ML: TensorFlow on GCP

18. Let’s play together !!

19. Ask
Your questions !

20. Thank you.
Very much!