This document discusses machine learning and deep learning concepts in a very simple way. It provides links to resources about languages like R and Python, the basics of neural networks and perceptrons, and a live demo of a simple perceptron algorithm implemented in Swift. It also briefly touches on pros and cons of frameworks like TensorFlow and CoreML for building machine learning models on Apple platforms.

1. Very Very Very Simple Machine Learning
in Swift
Sai Li @ Swift Taipei
2018/04/03

2. About Me
• former 有無科技 RD
• now: student

3. Languages
http://readata.org/r-vs-python/
http://mobileadvertisingwatch.com/dishing-on-apples-swift-despite-the-name-adoption-is-slow-moving-21868
?

4. AI & Machine Learning
?
http://www.4ward.it/en/intelligenza-artificiale-machine-learning-deep-2/

5. https://www.otexts.org/1583
https://www.kdnuggets.com/2017/04/must-know-evaluate-binary-classifier.html
http://mlpy.sourceforge.net/docs/3.1/lin_class.html

6. http://www.big-data.tips/neural-network
https://online.science.psu.edu/bisc004_activewd001/node/1907
From Neuron to Perceptron
w1*x1 + w2*x2 + … + bias = y

7. x y
hidden layer
Neuron Network
w
y = wx + bias
(y = ax + b)
w -> a
bias ->b
input output
bias
error

8. Live Demo
y = wx + b
https://github.com/taipingeric/PLA_in_Swift

12. AI & Machine Learning & Deep Learning
http://www.4ward.it/en/intelligenza-artificiale-machine-learning-deep-2/

13. Deep Learning

14. Pros. & Cons
• Pros.
• Running fast
• Apple?
• Cons.
• Frameworks
• Numpy
• matplotlib
• pandas
• Tensorflow
https://pandas.pydata.org/
http://www.numpy.org/
https://matplotlib.org/users/pyplot_tutorial.html

16. CoreML

17. Very Very Very Hard but possible

18. –Steve Jobs
One more thing

19. https://hackernoon.com/diy-prisma-fast-style-transfer-app-with-coreml-and-tensorflow-817c3b90dacd

20. Q & A