This document provides an overview of machine learning concepts and the TensorFlow environment. It discusses machine learning algorithms categorized by learning style and type. Deep learning frameworks like TensorFlow and Keras are introduced. Transfer learning and converting models to TensorFlow Lite format for mobile deployment are covered. Finally, the document discusses Flutter app architecture and how to integrate a machine learning model into a Flutter mobile app.

3. +
=

4. 2000 - 2010 2010 - 2017 2017 - 2019 … 2019 …
.Net Platform
ASP.NET,
C#, WCF, WPF,
Silverlight
ObjC, Swift, MacOS
AWS, NodeJs, Python
React, NodeJs, Swift
MacOS, Kotlin,
AWS, Flutter
ML, AR, VR
Human Learning

5. Human Transfer Learning

6. Agenda
- Machine Learning Basics
- TensorFlow Training Environment
- TensorFlow + Keras Basics
- Keras API Basics
- TensorFlowLite Basics
- Flutter App Architecture
- Demo

7. Computer Science
Artificial Intelligence
Machine Learning
Deep Learning
CNN
Computer Science is the
study of computers and
computational systems.
AI is the simulation of
human intelligence processe
s by computer systems.
Machine learning is a
method of data analysis that
automates analytical model.
Deep learning is a
Machine Learning technique
that teaches computers to
learn by example.

8. Machine learning (ML) is the scientific study of algorithms and statistical
models that computer systems use to perform a specific task without using
explicit instructions, relying on patterns and inference instead

9. Supervised Unsupervised Semi-Supervised
?
Input data
labeled
? ?
Input data
not labeled
? ?
Input data
mixed
Machine Learning algorithms
organized by learning style.

10. Machine Learning algorithms
organized by type.
Source: https://machinelearningmastery.com

11. Cognitive computing
and Machine Learning
Image source: http://www.cognub.com/index.php/cognitive-platform/

12. Image Classification
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

13. Image Classification
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

14. Image Classification
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

15. Spatial Localization and Detection
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

16. Spatial Localization and Detection
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

17. Spatial Localization and Detection
Image source: Fei-Fei Li & Andrej Karpathy & Justin Johnson

18. Machine Learning Cloud Platforms

19. Deep Learning Frameworks

20. The core open source library to help you develop and
train ML models

21. Keras is a high-level neural networks API, written in Python and
capable of running on top of TensorFlow, CNTK, or Theano.

22. + =
tf.keras
TensorFlow’s High Level API

23. Transfer Learning
Pre-trained
CNN
1000 Classifications
Pre-trained
CNN
New Training Data
+
New Classifications

24. TensorFlow Environment Setup
$ docker run -it --rm -v $(realpath ~/
notebooks):/tf/notebooks -p 8888:8888
tensorflow/tensorflow:latest-py3-jupyter

25. TF Keras
Simple Sequential Model
Sequential
Model
Save
Model
Convert
Model
TFLite
Model

26. TF Keras
Retraining Model
Pre-trained
Model New Model
Mobilenet
Optimize
Model
Save
Model
Convert
Model
TFLite
Model

27. TensorFlow Lite is an open source deep learning
framework for on-device inference.

28. How it works
Create/Find
Model
Convert
Model
Deploy Optimize
Image source: https://www.tensorflow.org/lite

29. TensorFlow Lite File
Image source: https://www.tensorflow.org/lite
FlatBuffers is an efficient cross platform serialization
library for C++, C#, C, Go, Java, JavaScript, Lobster, Lua,
TypeScript, PHP, Python, and Rust. It was originally
created at Google for game development and other
performance-critical applications.
FlatBuffers

30. TensorFlow Lite File
Image source: https://www.tensorflow.org/lite

31. Flutter is Google’s UI toolkit for building beautiful, natively compiled
applications for mobile, web, and desktop from a single codebase.

32. TensorFlow Mobile Workflow
Platform
Channel
tflite package
Interpretor
Flutter App
Operators

33. Flutter Architecture

34. Flutter Architecture

35. App Architecture
Flutter
Controller
iOS
Android
Main.dart
Router
Main
Module
Object
Detection
Module
Shared
Module
Home
Camera

36. App Screens

37. App Dependencies
pubspec.yaml

38. App Assets
pubspec.yaml

39. App Bootstrap
Main.dart

40. App Screens

41. App Screens

42. TensorFlow Environment Setup
DEMO TIME

43. Contact